diff --git a/docs/doc/ml/models.md b/docs/doc/ml/models.md
index af961f700a70d2ea4861519fc1c931476b324c52..2b50e6400260dca83d9a640e2a67d60add23e4ab 100644
--- a/docs/doc/ml/models.md
+++ b/docs/doc/ml/models.md
@@ -6,7 +6,12 @@ hide:
 
 # Machine learning models
 
-The `qim3d` library aims to ease the creation of ML models for volumetric images
+The `qim3d` library aims to ease the creation of ML models for volumetric images.
+
+::: qim3d.ml.Augmentation
+    options:
+        members:
+            - augment
 
 ::: qim3d.ml.models
     options:
diff --git a/docs/notebooks/UNet.ipynb b/docs/notebooks/UNet.ipynb
index 8cbc952fa4bc443596211c68c4f52325277ea837..0b11555bc8fd8e75302704a43b1fd6f728a1a7f0 100644
--- a/docs/notebooks/UNet.ipynb
+++ b/docs/notebooks/UNet.ipynb
@@ -562,46 +562,42 @@
     "qim3d.ml.train_model(model, hyperparameters, train_loader, val_loader, plot=True)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## This is where the good stuff is at (below)"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a0544269a5b6483eb38cebf99c0f4282",
-       "version_major": 2,
-       "version_minor": 0
-      },
+      "image/png": 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XPb7anRL3+i73vYag25e+V8Ky5L5dW9BuUwuZLbc3sA+BKWqF2sv2bfs+qSWvub/zJuR1t1+zZsib7sGNekij4f57TDRiJppuGbyxZsTzb/gfANaN3zGdj0SmaUcYHyJbSuNDZGoaHyJT29T4AJXZi4iIiIiIiHQcZeZFpmFHu3L8yYPOBuDZi4borbiu8V2VJj29bjvpzQi7fJf72BAk6z+HzaH1sdmmJffN521myP3teVZm4MPYYlqZ+dAWz2lCJpXj2yLD77LzAHnDkKXG3x7Q9Fn6LA2o1V1mfrSesK7unvSFN/2MwdE/b+7HIlPY0caHyObQ+BCZmsaHyNSmk5lXMC8yDTvqj80Zy8/hH3dxJffzKw16q67kvlJJqXS5zySq5piovXTeB9U5ZE23nTfLADvPDGnqlprL8zJINwbi2D9nlBMlbq58mOQEiS32abEWbFq+VuvCgLXlMeSZoVF3rzVRSxipVQD49eoB3nHnhQDUGg9t+QckwI47PkSmQ+NDZGoaHyJTU5m9iIiIiIiIyHZIl7tEZEofuudcPnSP237F4jN51xOGAehOG0WTuWQiJQzLjvO5LbPirS739UZE3a9d38hC0iyYtC+4jvQV34U+iVIqsduuVJskFd85P7Rld30ml+lPqjHyne0DXJYfII4yKpG7wtkV5Bija5kiIiIi0rlUZi8yDSoDc16/i5tL/7p9hunyJfFxmBG1BfOZL3HP8oAsdwFzPQ2pZe4z+vCtCT8Y/Mh6z93XcyAvnX8cAK/Yc4LF3RMAdCVNqhU3OT6McgLjA/Vw8ldXqwTfBLYI5slNEfA36iGj467MfqRW4V9vGgLg5qGLtuSjkDYaHyJT0/gQmZrGh8jUVGYvIiIiIiIish1SZl5kGnTleLIn97+OTx/cC0A1TNdrTAfQzAMy664XvubWB/nruh8DkGZDm3z+IOjlmqe/HoDepElP4lrhx1FGGLSa4ZVfXWGYE/jbwzDfYCl+mgZM1Fw3++GJKp+/ow+AC1eeN/03Lhuk8SEyNY0PkalpfIhMbTqZeY0QEdlsfxz6Ms/6tQuMj55/GscvqwKwrLvG1Su7AfjS6m9RawwC0EzXbNbz5/kop902BMDLl+zGc3Z2z1PJMsLAlfQHbcG8MbYo9Y/CnMjPvW+/yJCmYTEFQERERESk06nMXkRERERERKTDqMxeZBpUBja7vnLoWQAcNH+UWubWje9LGkXmPQxyYp+xD4Oc2Gfmw8AW5fh5bphoxACMN2L+406V2c8UjQ+RqWl8iExN40NkaiqzF5Htwmv/7ALuI/vewmDwCAChjTh+0V4AHLV4hNAH7dUoI8nKJe5ac+yzvFwqL7eGfFqXMUVERERE5iaV2YuIiIiIiIh0GGXmRaRj/Hr4c5P+vnnIb9zl1qkH+MaBL2JJl1ujvpoHJGFW7N/0695nVo3wRERERKSzKZgXke3C8NjtALz4j7fz933/BsB5h5iig30YWPK2MnsRERERkU6mMnsRERERERGRDqPMvIhsd34+/EkA/s/vFnLN008CILHZxh4iIiIiItJRFMyLyHatnrkCJIMlMGphLyIiIiLbB5XZi4iIiIiIiHQYBfMist1K0yH+/rcX8Pe/vYC19YpfX95gUQM8EREREelsKrMXkc3WXVnGeH1F2y2h/3dnzEu/fV0Pt02sne3DEBERERHZYsrMi4iIiIiIiHQYZeZFZFpOXHQmL9jVNZDbq3eCWuay8f/9ty4uH74KgDUj18/a8W1IFPVz2WGvBaA7SovbR1KV2YuIiIhIZ1MwLyIb9ZbdzwbgVXsNk0SujD4Jy3L6U/Yf53XZkQD8ce3zuPT+MaBcHm62hb6DvWFyJ/vMpBvaXURERESkI6jMXkRERERERKTDKDMvIlM6Z59zePFugwD0JA2qictmR1GG8RnvNA1J/Vru/ydp8NSFMQDr6m/nW/f3APCllZ8my9Zts+Pu7z0YgO8fejRJWFvv/kzLzYuIiIhIh1MwLyLr+egB5wBw1OIhepIGAL3ddeLYlddHSQ6Bj4jzlLThgvk0Dag0XMBvjKU77AVgp54DWbXuum1y7MsGjuWSJxwIQBKkhEEZuTf8RYfcGm6d+OE2OR4RERERka1BZfYiIiIiIiIiHUaZeRFZT8Vns5MooxK7THsY5UTVVmbeYvylQJtbwiR3tzcCgtA3nDPw6n3WAHDn9f+XH7D1MvPP6Xs75x7iXrcapkShqyYIjSXw0wEavvs+gAWszbfa8YiIdIJ9B14CQJ/dibtT9x09OPrn2TwkERHZDArmRWSSXfuPYnlPY4P3Gb+imwnAtIL2EGzWWuotJ2nbP8vd7e9/4jh33/TPANw2+K0ZOc7X7XI2r9xrFIDuqEnFd9qPw4woLAP11jE087IQ6cMPXEmt8dCMHIeISCcx/tTvffu+h7c96y4AGmM1kp4nAHDQd3fiwaFfzNrxAQRBL3nuvt97u/ZmdOLuWT0eEZG5SmX2IiIiIiIiIh1GmXkRmeTBoV/w17FnAbB7r6GRuvL0JEuLDHyeWgJ8Nr6twZwJyr+jKC8y5EmYce7yZQC88c7DWTNy/RYf37v3cs35Xrr7ULHufVfcLLaDtuOx1mBa5QRNyKyuX4qIALzu4BWEFfd92VVpFrd/eu+n8dI/XeP/2vpLf+zW/xwAHhj6Ga9ZehYA7znsEb5x11IATv+HO7n6D8cD8OfhhFsedcf6/XX/SZo+utWPT0RkLlMwLyLr+d0qFxg/Y6eQKHBfE41GVpTZx1lGELtAvQiWAWvBpr5jfFbeHgY5QatE35Rz1zfXRw84h+fs7JbK64rTYj5/HGVFp33TFsxnaUDWKL/mWiX3Fs2XF5Edz0DvoVx80LEAzN/5fswGzgL/3zPu48HdXwXAZ27ag4/ce+6MvHYULQAgTR9l+cA/AvC5fQ/k2YffD8C9d76ZfZ7kyulNAGcedpd/pOEFf78CgOfnYP3aorW1x/L+X+4DwKfvn5ljFBHpNEpTiYiIiIiIiHQYY62dVg2V2dDlW5EdhLXpRu/fXsfHWXufw4t2HQKgJ2lSTVx5YyVJCSPfwT6anOVuZeSzLKDhs+Lj9ZjhWgWA82+p8oPBj2zWcXzpEFd6ecSCYbpbxxCnVJKy034cl8fR+lZr1ENq9RiAofEuXnbTgwDcNXjFZr2+bNyOOj5EpmMujY9lA8dyy0sHAAgqdoOZeYDWIed1w8237wzA2TcH/Gz4gi163X9bdg7vfsp9AHzrtmW84WiXdQ9ig6m63wwTGkzkc0yRoSjnAsj9l3pqsan7rrf1nGzC3f7A7fN59e9c+9VfD39ui45RZsdcGh8ic82mxgeozF5ENuL8ez7K4uq7ADhy4VBxu7WGyJ9QZVGGMetfE7TW0H6pMA7c/sVc+2l6917n8KQB99rtpfXVSrO4kBAledFd31rAl/ob446jdXtOtlmvLSKyPXn9oqdiwjsBMJELoIFiqVEAt2qn+z4NsBx68MMAfKFnPteuPBOAC1cM80DwVwBWj9/OeN2VwR/WfzKn77XE7XNPjU8dUQNg+UF3ElTca715379iKm66lamGmKQVwAeYsNzeoDTH1t1vgG3kmIr7Tt/j0BG+xjwA/rzm3/nX2y4HUBd8EdnuqcxeREREREREpMOozF5kGnbkMrC9B14EwGf33Z+duyYAqEQZSeQ+kyjMCXxm3hiKLL21pmg4V29GTDRduftYM+KLd3UDcPGq86d83cP6T3av+4Q+Bqp1ALqSJlXfdTmOM6Kqy8pESVsH+xyyhrtOWZ+IGBlz5f1rxro59vofArBu/I4t/DRkQ3bk8SGyKXNhfLSaz/3q6a/kiYe5THtQMUVG/rGH0Dpk2zaLyma2vD2FdY+479Zqb5Mrb9oLgBOeeXfxXCZyZfQApmoIfDaeJMBUfWa+EkHibw/DtjL7tkapaVlRZdMcMv93I8OONdztjZx8zB1cPm757s/d8fxmTcjn/vaB6XxEMkvmwvgQmatUZi8ij9vdg98D4DN3vouzD27rDO/L1+MsJ/Ql9FGYTyq5T7Oy+KcV8IfGFlMhd+0/igeHflHs0zrh/O6TXseCijtJ64mbxGFWPH/YVlrfCuJN1HZNMp3cXT/N3Enh1++Zx7rxv27RZyAi0smioApAf7W+4Xny0eTpT0VAnpYBvAkMthVjV2BgeaPY/5+fe0+xT/HYSlvQngQucAcXvFfcxV1TjcuSehOUQfxjy+z9tC6TZuUVhlqzuBBgxpvFHHsTprzkH+4F4IUjlonvuZ4rF648b4pPR0Skc6nMXkRERERERKTDKDMvItNy9dDH2OOeswH41+Uj5K3GcqEh8tu5NW0l97at+Zwp9g+MJfRr0+9hD+L/LHomAFeNX8E/zTsOgCSokwQ+Gx/kRGGrc35WNL1rNbzbEOvL+9M0pOEz89n0ZhSJiGx3FnYfCMAe+wxOun1DWXoTmmItdyKDofzu3GD70siUjfSioMjyT5mN761AHPvHBlBJ/HYIwRQ5ptxn49OsLLOPm5iqm3ZlwzqBz+bbyGCiVml+yieOcVUDl122txriich2R8G8iEzb1ePXAdD/4NN50a4jgCu3j315YxgERK2u9W3l9s28PEHLreHk5eMA/H5wATesLSdlzvddjXvjtHh8YOyk0v3W0neBbZvP2VZanzYMzaZ7nmYa0vSl/t9Y9TlQN3sR2QG9btGRANjsLlqd6s1j4uZWQP7YbcINr0Bi2kvhNxXAV2OI/e291TKAD8pg3kZtp6Rh25x5KAJ4k6blHPpKE+qu1N+YAKr+AkFgIHJBfghUcfMELtjnn3n9zSq1F5Hti8rsRURERERERDqMMvMistmyHOo+4726XmXcbx84f7TI0pu2ZI61ZXb++sF5/Ha1S6nfU3+UvZL+Db5G3la63yrXz7KAIPAZ+6YF2lott0rrGwGNuvtqqzcjHpro8sc8/njesohIx/r8Iz8C4O0sLzvSh1OUzfOYrHu79kZ5re/6yBQN69q705tKXGbLuyplNr6riq26TviEISStkvsQwrbT0qyti7PPxluARtPfn2GC8fJ5xtya9u6o/O1pTivHf9LRd/Nf978VgF8Nf3qKdy4i0lkUzIvIRoS0l6YPNlyH4E+s+DEX3O9OzI6efxrH7eE6JY80Y37yiFt2rlWGD7BirIvv/c1t9yXQmo55v7mN364uu9n/R/1zABy75LX0+fO+MLM+cHfKefgQpOUJZ2uefLMZMlF3J4cPj3Xzoj98ZMvfvojIduAQc6TfWrn5D95AAA8+iMcH8K3gPwldEA8ukO/yQXtPVzFP3vZ0lwF8pVKW14chRBs4LU3LoN7U62XH+0azmM1vwvqkh5hWKX5uAVeKH9QzvvgUt33QT6fxvkVEOoDK7EVEREREREQ6jLF2ei2ezQYXJhXZMVibbvT+7XV8RGE//d3LAVgzcj3zuvcFYGT8Lowv7LGUn82Svmdx3LyjAPjmo5fylPgFANxhbuSRkRsASLOhTb5uEPRy6m5vB+Afdq6za48rmUzCbPKa80FZZt8qy2+mIWMNl9a/b7SHl/zxw1vwzmVz7KjjQ2Q65sL46O3aG4AVL34G1Z3c8ZgIgtgU20UTu/ZGeG3d6YGpS+tbt/dUytL6OIa+nmK7KK3vqmJ7/O1hCElbN/tWmX32mM+syLTnRabe1OtQ9xn5iRpmbLzYZtSV3NuRCRhx2/lIg2ytK9E/49v78skV527yc5Otby6MD5G5alPjAxTMi0zLjvRjs/fAi1jTuBOAsdrKScH8bPnSIWcBcHDfKBUfzIdB2eU+NJbUz8lvZgFfv6cPgM8/8IFZONodz440PkQ211waH69ZehafftFf3etGEFR8EB60LVMXTe5qX8yfj8ykYL7oWh8Fk+fJt0rre6vQ5aZg2Z7utjnzXWUwHwRQcfvbDZXY4zvYt9Tr5TJ19Tqm7gJ1Gm2d7UdGYWzC3T4ygR12Qb4dqZMNun3SwZy9vummja1ad91GPzPZuubS+BCZa6YTzKvMXkRERERERKTD6HKXiMx5rbWBD+9/Lc/baRcADpqfsnu3y76srlf47xUuM/Tddd9gov7A7ByoiMgcduHK83jVn90UpsMPfQgbFS3kaM2YMthJ2Xmb5v72oO2s0WAzf3sSluvCR2HZoK59rfi2rvWTMvCTGuBFLlPf4jPw7eWjBsrS+kqlbI4XZOXrxTFEDX88QdmcLwoIKm6foGK5YPlzAPiXG5WZF5HOpTJ7kWnYUcvADNGkOfFzTfscfpk9O+r4EJmOuTY+Duk/CYCXLtqLU5/uSu4rfXlRZm9Cg/Hx72Pn0puqD5iDcnvScnQ9VYj9E/VWodeV09uebuj2JfeVKnS5JUOpVNzfMDmQb5fnxRx6k6blfPpGswjsTb0G435purFxN28eYHgMJtw+dnCcfMQF+dnaJumIO/094NLVPDD0s+l9eDLj5tr4EJlLVGYvIiIiIiIish3S5S4RmdJczspDZ2Tkn9z/OkLrvmozk/LHoS/P8hGJyI7s5qGL/L/h/lHXXPRTL7gbk7pMdVC1+IJ2SH3ZPa7cvbUPEeDL7wnzcv35NCsz8wBZVv671ZG+QtnEDto610dTZ+fbtZ4nncbvU9RW6h8FbQ384M+3LAHggaFLN/08IiJzlMrsRaZBZWCyOZ7Rdwoh7iTy3INiIt91P7WGc25zSyM1adI0bvv6oa9s9msc3v9aAAJMcbEA3AUDgBy7Rc+7JTQ+RKbWCePj/P3O4QnzXQn6fv3DLDtgEHBBb2upOhOAqbrtoBKW5ffdUdnZvivB9LaWoKtAjy+n76q6UnuAJMZ2+272SVIE3EW5/WNMKq1Ps8nd7FsB/cRE2c1+bNyV4MPkMvuRGvmw284HG0WZ/Qsv2oWfDV+wWZ+XzJxOGB8is0Vl9iIiIiIiIiLbIWXmRaZBV45lU9qz8Z98IiSRKwWNgxzjM/NZHtDI3D5D9YRm7q6nnnHHIDku23Tj0FcnPe9h/ScDEBDQZV3myhDw3gPdms2hsUXmH6Bp3XOmueGMO1x2bWtn6DU+RKbWKeMjCHoByPNRfv/stwKwx+JBehe6jHdQhSD22fiqKTrDkwRlM7yuGNPTlpnv9dn29sx8JSka4NlKBVrd7JPYdbRvydo+t1ZpfZ6XTe/StOxs32hiWtsTtSJLz8g4dtTfPlIrGuDlw00eucUdwx4/+BqTe+bLttQp40NkNkwnM69gXmQa9GMjUzmy7y0AfOLQkK7Y/X/SFTepxO7k07QF2nluaKTupDfNQmqp+/9m9USVzLqT5PPvGJ/0/Gfu706A4yCnP3EnonGYEwUu+A+DnMC/Rm4Nmb9A0MhCVk24E+l/v2PtehcJZpLGh8jUOnF8DPQeWmy/qPeFALz7kDUse8IQ4ErvA3c9kaAngiTw2zF0uyXoTCV2AT24oL7Ld7Pv6XYBPUwK4CcF9u3a5saben1yN3sf5JuxcWj60vp6A2p+e6KOHXOd7e1IHbvO3Z4Np/z+10sB+Pvff500fXSzPh+ZOZ04PkS2FZXZi4iIiIiIiGyHdLlLRGQztdZp7rMDfOZJLivek9SoJu4KapKkxEkrM18+LksNcdNl5uuNqMja72wszcxdW/3EoWX35dBY4tBl6pMwI/TZ+DjKCAPrn98Shu72LAtI/fOEzYjF/nnev+8iXvSHmXv/IrJ9Gxz9c7H9db/9t4m389KVCwE46Vl/xWatPVJM6r53csosUVtP/EkMFNl2m1aKBnimXp/cfb5Vct9ebt+eja/Xy3L6PC+3R2vQ9M8/VoOG29/WMqzvwG9zuHfMldkrKy8inUzBvIjIZvrAPrsCsOe8UeZV3XzMaqVJ7Evro2pGlPhgO3AnjgCmsaFTW3+fCde7zQXzfu59lBH5oD2KMoLQ+u1yiac8M6RpWXDVKrlfVKlv/psUEWnzs+EL+Nmw275v7BxeuOsIAE968koCHyQHpLS+kQIogudJ33xpVnSbN/UGhP67LwqxrTL7MCyXtWtjavXy9vYAvtYsy+xrTWzdbzcy7Jjfp5Fj6+548rrlwvtGt+RjEBGZU1RmLyIiIiIiItJhlJkXEdkMz+g7hT16xwDoThp0VV3Wp1LNiKouYxQklsD1gMIEkPvEUATY1He2z2zRuC4McmK7ftY+DHJi3xW/kqSEPgsfxznGb7eX8QdZ+UeU5mVWP8g5YOAEAP4y+O3H9f5FRD5y77l85F63fWXt33nu0+/z9+SYzGfFc4vpbjvNbGXpJ+pQ9V+QcQyRzytVkjKD315un7Zl6LOs/LvWLMue2rPxaV6W1tdT7LjbzsfS4rv44l/uwx9rF23RexcRmUsUzIuITMPT+t4EwCcPjahGPoCPs6LMPYhzAl9aH1agvWq+1fXZZmCCsrt9eyDemj9vrSnmxkdhXsyNDwJLHPuT4SifVMbfkqcWm7snbc2jBwiM5dRd9wfglMEt/ABERDbglL9ex693Xg5AT0+D3t1bc9xTAn/x0tYyTNUH210xtALvMMS0AvuJtulA5jGFo62gPc2LYN6mefk8uS0uFth6im3kxeu2SuuzCUvuGttzzv3XMF5f8TjfuYjI7FOZvYiIiIiIiEiHUWZeRGQaPnSQW+89CRtErfL1OCWMfDY+tmWmPQAC/0du2RBrIfNZdGsN1pfZ59ZgNlBy385s/G6/j520xv3PV256rVIRkc314NAv2Ouq/wXgRQveyX+dcB8ANrPYmq8gqhqCtmy5ifyXWBRApe1UNNjEl1t7Bj7Ly+3UQqPV3C4DXxGQN1yzO4D6cMC//2xvAB4evvRxvGMRkblDwbyIyDRUfNl6GJSl7+1s/pgb8lbZfDlnPk9dx3mANA2LZeSaWUiar18olWa2KLm31v3T2t6U9gsEzTzgO2s/tOkHiYhsAYu7WHjlox9myTdcwHz6bq/g7c+5E4Cg2RbYR4AP5k1oMJEvlY+mcZUyLb/8bJpjM1vc3vqetZnlvlsGANh9ryG+9bt9AHjn3ZezbvySLX6PIiJzkcrsRURERERERDqMMvMiIpvwtL43YfDl9G2l6y777bbzzBD4Jss2tcWlUpuD9dn4rBHQbLjOeGkWkGZuu5GFRck9MGm7VSpvTFlenxjIjK8UiMvjybPyeLIsIG8r3RcR2RZGJ+4G4L13fZCL1rwQgH/e6WAOmOey94cMDLH8oEcBl6U3vuqp8ShUFrrnWK/SycvrlnTMfZ89+Ld+FvS7lUW+f8ce/N9dVgHwjt8P8IPBjwDwhIFXcOvgeTP8DkVE5g4F8yIim/Chg7oJjDsRzawpgu0sC0hTF7UbA3nYWkLJQKsUPzekdV9a3whoNNzXbr0ZUUvddi0NydoC7g1NGw0Di2m64N8EFt//Gdt+1pub4njy3JD50v1VteqWv3kRkS1gSblr8AoAzh28AuNPOS0pT7jhFQAcPX9v/nd4JQApGcuDnQF4+V6Wt939BwBO7D+Sr6/9/wDYO3gatzZ+DECepzSyEffY9FG42RSv3HLr4MVb8R2KiMw+ldmLiIiIiIiIdBhl5kVEprBs4FgAImPXK68HVyofputfEw3inMCvM59nhrzpG901Q+o+u15PIyZ8Zv6Kv82j2dbUrpVfOmGPkfI527rTt79mZMvy+yw1ZP6+LA9o+DL+m4aTzX7vIiIzqdUkD8qM+a2Dk/e50f/7ikfL2z4+9LNiew3Xb/QVRER2NArmRUQ2YI/+o3nXLk8BIAxGi9utLcvXTWYJfHDeLrLQmvZuLcU8+XojotFWWn/tmnkAfGLFuVMcxTlFQO/mzJcnqxV/Ypxnpgjm89xQbyvjb/hu+deuGtus9y4iIiIic5/K7EVEREREREQ6jDLzIiJtdut/DgDv2OVpPLHfZeQNlqAtK97qDp/lAZlfT55m+Ry2rRu9tUxqeldPXZb+t2vnc8HKn2z0WD59/7k8baf3ALBnz/ikY2itUR+FeXF7lgc0/PNPNCMuv78PgJ8MT5X5FxEREZFOpWBeRMTbtf8oXtZ3JACHD4wU8+TjYPI6Sa3O84E1RVANFAF9EEyeX98KsBtZSNOX6F/64BoeGf7tJo/purXua3r3bkMtLUv6I39MaVa+VjMPiuO5Y928jZTvi4jI9qPs5P/Knc8C4K0HDJMUK6xAZt1vwwW39fPNR7Rcn8j2QmX2IiIiIiIiIh1GmXkREe+f5j2Lpd2+Y7yxRUY+MJbQZ9ujoCxrb29IB2X5PW2JfFeK766bWmuKfZ48byHXDW/6mFJfxm+tKTIrtRRCExTH1lLPQu4Z7QbgC/eum96bFhGRLXZk31sA+Pf9ethznmtYGgaTfxsyP/UqswG/WjUAwDUrU35auwKAdeN3bPbrzu/eH4DXL34ZJ++zGoAozKgmD7ljCPNJv1GtVVjOffIE/15/EwCfuHUnLlypLL1IJzPW2mmt5WGM4n7ZcVmbbvR+jY/tw5t2O5uXL3Pz5OMgJwnLYL5V1h4+JphvnbQZY9tud3PlYfI89noaFaXyjSzkXbdOrHcMK7iZZRziXpeAFy/dCYBn7jRCYNbbnXtHu7C+xPLGwZDfDK0F4LfDn38cn8Tm0fgQmZrGx/Zn1/6jAPjIns/giEVuHb2upEkcu7J2YyxB2NZnJXPf0dYaMj8VqtaISP3yoZ/9y0IufvTbAIyM3z1pGb+Ww/pPZt9wCQB/tyTk2N0eAaCnq0GSuNcNKxlx1f8OhZb2/7Xyur+g0DTURv2qKhMxH7lpFwC+8MAHtvwDeRw0PkSmtqnxASqzFxEREREREek4ysyLTIOuHO8YXrP0LP51uVuTvRpmxD4zHwU5sW8kFIU5Yav8vq2UMgwnN8lLfQY+yw1Nv93MQhpZ2+2t8nvKlPtv1/byzJ1cqWYwRRl/Zg1/9eX0164y3DThMjR/HPrylr/5x0HjQ2RqGh/bl/nd+/OpfV4KwLOWrqa3uw5ApZoRVnwFV2wx4fqn1zYzZE3/PV4PaDbdb0CjHhW/E400ZPVYd/GYhd2ugisKM5LI/Q4lSUq113VcjauWaL7bN0jAVNxzmiiAqK2cK3XHk4+lpCNuuzkaMDaUADA82sUnbnWVYNuy9F7jQ2Rq08nMa4SIiHg3TDzMkSM7A3BQ3yixvz0McmJ/ElVJUsKoLL8PNnDClmemCPSbzbAIyqMwJ87c8xTz6x/jH3cfL5/HmmKeY7OtXN/mIb96xN2eWjtrQbyIyI7mnbu+jKcvdnPUe7oaRVCd9OQEVbdPEBtMdQPFr6nFtoLqZkql5m7O6k3Smvt+zzPDQF/5O9CayhWElqjqLyr3WMIuv6pKT0Aw3/1amUoEkX/dJISwXAGFujvOoJERjDTc8ww3CWN3MSKMct59qL9YEJ49a2X3IrJ5VGYvIiIiIiIi0mGUmRfpAMZUsdZdwu/vPZhq2A/Aw8PXztxr+K8DE1TJ89EZe95Ocv3QV/hpfCYAB8w3RSfgJMqoJK7UqVJNCZO2Usq2S6LWV9pnTUOU+X3CvMjCt5ogtRj/pwnK5nlBaIv9siyg2fQl+mnIhHHZl6xhSP0Mqebk6n4REdmKQgOV2P0eJEnZcC7sMYTzfIl7NaTVsdREk7/3W5n5MLfYmsuE23pO3vBVW/W2DvQpRRO7oGIIun02vhJhut1vg5lXgYrPzFdjiP0DorasPEDq15xvpgTd7nzCdNepVOr+ORvEsftBefcTH+IpC9xv4XtW/HJGzzVEZGYpmBeZw57Y/yoA/u/8Zew33/3Ar2sa1vjSvE88jh/YN+12Nm/YdxCArrhZlJEHxhZLqdWbEWMNd5Jw4s0ruHvwe1v8ep3ixvQeACxLCH2AHQZ50aU46ckIu3zgXTGTugXbht+/aYvOwWGSrxfEgwvag8Q/T0x5USCgWNouq0Nz3P+3GIuLxzaykH3muxO12wY3PZ9KRERmRhRQ9k0Jy7nxQWJcEA+YJHAl760HtC1FYvxyo6Q51l8ktqklaOR+e8NXaE01xCT+YkFPAl1urrvprUDsfx+qcVlaP1Uwn2WYVsAfhoRha459HRO5UvywknNM/CAAT198CJ/9i+ver9J7kblHZfYiIiIiIiIiHUaZeZE56vW7nM2b93eZ8yRcXXRBz63hkvsGtug5jalyyWFvB+CIxY8wr8eV11V7m0RdPtMQQ+4uzpNOBNTH3dfEj5++mF895MruXn3T+Vv2pjrAbYPfAiC3/0bmy+OD4DGNh3wpZdAVlt2C87KxUTCRkcdu22Zg87Jssr1kspVlCSrhBrsOh/WMcNj9dzGmSZ67ferNiGOWDANw09pu+nsPBmBo9JYZ+hRERGRD0pyiem1KUVA2ogtMud0uMK7jPGDSHFvNi+31ngvf3C7xmf9K7LLwAF2VMgtfSdqeP5jcAC/wx5CXt5koLJ4/iAJi/zsUxE2McecHxlhOO9A1/AvN2Xzub8rOi8wlCuZF5phn9Z0GwCkHPEo1ciV4pm2Jslq65cP2qPlv4ojFawBYMDBO10L3/NFAQDCv4l4rCcolbMZTqsMusu8eanJsl+uAe+eS1zNad/t//Z4BPnP/uVt8THPVTUO9/N3OjwJu3nsY+UC9yxD0+BOq3hjjSxRtbjF+nryNDMbPq7eNySdmRZlkV1iWZLadpAHg506asSYmaPrnz2hOtJbHy4h9mWdmLUdGzwPgKhTMi4hsTZmlWFmk2QxI/DQqm1L8dpLm0FquNArc363tlsfcXlzODR8T+LdfFGgvoTcbuECQZmVgn0/RUCUIyqC/Ldg3TC7XreCv6tMobjvlgNWE5hwAPr0d/u6LdCKV2YuIiIiIiIh0GGXmReYQYxLes79bqLYaDU9qSmfb1iW/YXDzus0vGzgWgE8+qVGU1nctTEmWuDK9YKcqZqDH7ZyE4MvCzVidYJ3rtheuqRF2ucdWBlOq61xW/5QDGrxsj38D4I23rOHmoYs2703PUd97YJy/27n8O/DfliYymFapY1dclkDmFmq+GV3StvZ82Nb4KDBQZOYjTLcvk4wj14W4pdWoiLLkMogzIp/tT6Ks6ISf2pzUt9Hv6zmQ4bHbt/xNi4jIRp1z17lUQpedflnyIEmX+94PJnLAb6c5plU2n5Ql9yacIjPfxmblbeaxWfqWNCsz9rUmRK0Mfwb11vM/pgFee8l9+32t5+mqFNUB7a+a5E2s9RVi1vCG/VzJ/WjzLC5ced6Gj09EthkF8yJzTGuJMmPK5cpya1g73gXAybc+xF+Gv71Zz2n8T3NX3KTS436Uo76AYMCX1i+aBwvmu52TMqg0YxOYnnG3HQUQTvjtFBO6ID8ezYpler79lB4a2SkATDQjjrn+xwAdGWDeGdyKtfusf0dAEZC7tsb+pKj9vCnLywsi7aWOgQ/o8f/2J1SmWl4UmHTCVY0wY+6/l0lM0TUZyv9PDuyvFhd3joiO5Y/dm16rbt34HZvcR0RENsyvKMd4PSEeaV18bZD44DzMc4K6D+YrQTE33rb3RgnWX+VkPVFeBOemEhW/KzYwUPdl8GFYPL97zGOCeHC/L62y/Cgs59u37x/l5e31JqbbhQhBd0o05i8kJxlR6N5vb6ziXpG5QCNRREREREREpMMoMy8yxzR9l9wsD8j8Vfg0C0j97Tmbzrw+1rt2PQKASvwQsc/cBj0xzHMl/fTPw/bNc9uVSvE4U0nAr0drckvgsw7uFpeND+MGybhfg72W0mi4e6tRxK+e9vcA/H8PHM+Zd3ZWs5wVg1eT21MByLIA2/rYc4rsCLktM/LWlrfDpO1WN3uDadumbFCUtz02Tyc9f2t/m7qXKJ/eZXX26LH8rm2t+UPjY4rtw+b3ARAYQ+4fbC18k0sBGBm/a7ofh4iIeO+9q/V7dg7HL3Nl51kW0OWz5XEtI/QrmgSVDOOnzJnQFAlyM9UZeFv23oRlx/v2ZqrtpfvA+k3zeEy5fiUqKgFMTwWaPgNvgjIbHwWQtjrnx0Uj1qAnIhhxTfCC0JIU0/+mOH4R2aYUzIvMIdY2+MidrpT9c4dHxTz53BrqPpi3WxDMx74kO45TQh+rm+4I0+072lYT6Ol2223BvA2MmwsOMFHH9LkTlcBaoqw1HSDD+K77QZxTabof+ko9peoD+5fu+Qh/t9AtifeSm69hzcj1m/0eZkPml4Kz1rQF87bsWNzIyjOa3BYnP7aWlSsC1Mv57wTliZxtZpiaf/4gwLSWCwoCbKt8spYWcyptZrG+g3KWB0Vgf9kDg+T412r7fyMg4ITdxwAIg/IqQG6hmZ8IwJfGtcSQiMiWeu9d55JZN3/++D3W0PTf0dVGk9DPY4/jHOO3g7BcnSZoOwNvn0JlorartjD1hYBo+tF0UAmL6WFBIwPfr8X0VCfvaDd8fmF875fW+xCRuUNl9iIiIiIiIiIdRpl5kTnm2uHPAHDRPefwir0GAZhII46/5WoAhkY3fy3xyGcCoign6PJX2CsRdLksvO3phi7XYM/6fwOYICjLwut1TN2vN5tlBK2Sv9AQVF3mIJzIyWs+G9HMyvL7elp05v/pk5/JSTc8AWDOd77PfGVElhuy1FdJNKzLbOA60hfdiNMc66sS3Hbr9rZy+wBoZc+DMqtvxhvY1jrzgSm64ttmRu7Xls8m3JrG4NY4bk3HqJtxHrBlg8ElZj/3NASAb3BIe+M8w4nLXFPDLz20RR+LiIh45/7Vldx/dc1zOH3XZwLwD0vXFI3ikigj8NVRYZiXmfm2bHx79VQQ2kkZ8MD/NLQeBy6rb8INZ8lt1l6m73+/o5zQ//bb8ZRgvp+a1cigy1Xota+oYh/TZd9mreleIVmuPKDIXKJgXmSO+sSKc/nx8EkAHFFdtkVBfEviTxSiakbQ488MeirQ4wP3rmoZxHd1QeBL+oOg6MZu63XMhGura9KyW3uQNLCJOzEwXWUQaxuWaMLdHo9lhOt8maGxvHfvXQE44YZe8nzzltnblkJj17+xfS58lmMaG3hgXs6Tt7mb7w6PKZ9slMsYUbWTlyjypfn5eEo+6m5PJwLqNXeyVU8jrl3jVh+4P/8dq9ZdV770/Gax/btH3fz5IxeOTAroZfMZ48pRra3N8pF0riReDMDCngN4aOhXs3w0IjPrgaGfcdrQzwB4z8Q5HLe7uxgfBpbQ+H4zYU4YrB+Eh4GddHt78N9ijJ3yAkC71vSw9n3CSkZc99vNrDj5N6ktSnRt1jYlLM2xdX9RuZYVv2F5Zornz/WTIjIn6PKaiIiIiIiISIdRZl5kDmuVod/8OJ7j9L3O4dm7PwBA0pMT+KZ3pjuBLt/8pqurLLNPkmI9WpPn2LrLRJpKWyY/zcrGeIHBxC7bb5tZuQ5uIyfwi/EGXRlB7DLGYWR5Mq777/v2fjvn3DU3u9xXk12KtdzDwGJayY4pWvja9sZ4UFTT25S2z6T9ETn40kVSW15azSmqG7J1Gc117vXq4xHjdZeZ/+UjA3zkQTftYvW6P0w6jvYs/Uet+8xfNfECdi5nT/Dg+EbeuMhWlphentF3CgC/Hf78LB+NyMz74D3n8sF73HYQ9LJ43mGAmwa1u1kEwNKuhF173Pf70mrObl3uB2KXnnESX6LfXlofBvmkbPyGMvzApDL41j5xIyPzFV9JmgJuOwKsb6Rn0jIksFmOHfeZ+XpOXnf7NJsBX79rCQCfvn9u/naL7GgUzItsp57Y/yoAXrbHID297iQhHjCYPt+tvqeK9cG8jcKitJ6w7WshCCD2He+jEGI/p66SQOpPNnDl+OCC/1a5uKnkWD+X3lQzTOI74Scpxp+QvHK/B3nqgncB8E83fouJ+gMz+Ak8PscPvJpK5Mok4zglqrTmHrLFa/JYCzTKpeZaZfembckhm0PuyyHTEUNtnfvvMT6eMN5wn/8H/nbVtFYEaO3ziZHrGeg9tLh9cPTPW3T8OzKV1z9+a//1OQAc8t/D9OK+e47f6T1cvvaDs3lYIltVno/y8PC1ADzMtdzYumNw6se0pqQs6N6P3cyBAOwW7MRS34V+aZdhty73+7qk2mTnLrcKTusiAEBmg7K8v5HTk7VfTfZT48IccL/NpppPWp0lH3P7ZBOWZs33a2lETLRV44vI7FOZvYiIiIiIiEiHUWZeZDsURwv57EE7AbB0wVoqfX4d+HkxVHx2vavqsu0wORufpeV2nrt/NqEss6dYy5YETCt7H2cYf7uJm1SD1mvUOIBHAfiPA17FyX/+hHueWcyCxtFCAN607xhJ5I4zivK2rsDBZmfmW2vCk1O2ocssttm2j/+Y86Zrdge+tH7cVUasm6jy44cHAKaVlX8sZeNltnU/vQ+A23stL/yquy3ewioXkR1BbpvUjfs9bOQ5E34qVy0zjGbud+ITd6T8bPizgMvoL+h2K5osMfuxC+73bLfuCkcvdT84T91lVfH8QZTSmhMW1HNMxTe/zSz5uHutbMzQmHDnCBONmKY634nMKQrmRbZD71v+ZpYteBCAnv4G8YCfEzcvcXPlW1rBdr2OjdzXgYnCsk1to4EZG3PbY+Mw4YPsiTpMuJI9W2+WAX/7j3xgyqA3CSmmnM+HyM8Vr+YZNncd8o/a7WFOePDtAFy2ZvbKbo8beIM7tmgdldjPK6xmBL69gIkmBx+trvVY29bB/jEnO635822d7a0FfFdgm0PW9B2CmwH1mrs4UqvHjNTctIgfrVzAB//2rRl5jyKzwcxzjRsqT0n4QeLWRfy3i/fh35adA8AnV2gOrghAo+kC7lXNVazC9UGZbu+cR8fvBODhZlnSv695CUuGDwagL17A/ovcRfQgtJjQz43PyilfNrPk/ue+WQvIUhfkX37fYj7/N02LEZlLVGYvIiIiIiIi0mGUmRfZTjyt70385+EuozvQ8yDzBnxDnH7ryusBU43KbHmaYXym3QYBJvUp4yCApq//bjQxY771+cgYrHNrwtuRGoz7zHwz82ume60ye2NcSTpAErp/AJOXxxPmlmpelvV/6KkuG7HvHedw3t2zk6U7dX/3frviJnHsji2M2rrZh22Z+dxSFM6n5VrxtpljfTmkzSy57ztkM0Petl6vzVqZeUOz6T6rLA2o+a71o/WE0YarpDj3vosYq907029XZNvp63H/bqQkT3QdvT8V3c37vrXPLB6UyPajldF/rLsGr+C71o2/xZU96UvmAbBbNISJfMf7zBJUygatme9gn9XD4jcpVYW9yJyjYF6kgxmTUIndnLgKCf3dLtie11ejOuB+oMP5IabbD/XAQMO3op2oQ1aW2Rfd7KEsm5+ow5i7KGBHath1Pvgfaxadbm3DFqXjAIGv4jddIabqA/hqiAnbnt+XqgddIaHv7p7UM7qbLup99X4recqCdwNw4p8v3mZd7sNwftH9NwxygtY8+bZDt828KLWfVE6fWnK/9I9t2KIjfV6D3JfQpw2D9eWK1kLqt/PM0Gy6/0b1ZshE0504jTVivn2/O+lSIC8db4GbM19M18F/B2javMhW11rq9tv2rTxpoOxOH9f9nPm2Tvh5CllaLkeX+Slhww2wpIjI3KEyexEREREREZEOo8y8yBxTiZcA0MxGyfPRtnt853naF3kNOG/v1wDwkr1WMm++ayZXGcgI5/nu8V1hWVrfyLBB3W+nZRl8EExaX9Y2/JX3ehM75rLl+bom2bB77XTUFh3Xs0ZI7svFg9ASxL5krzsl6nX7h72BOw4oX9NrZbmDSk7S5V63UY/Yc5577zt3H8p92ygz31vdldBsuI7Qtj721JKP+T/aM/YNi/VVBnkTcl+imNYNeVFCb8h8B+I8N6Sp+0yy3ND0280spOG3f/TwfD59v5qCyfbBLnCrMTBRc402gfAJGe99wwoAdr/oLN5w83mzdXgiO4SMjHrmTv+zvMy6hxnFdDJryyoyEZnbFMyLzAHdlWUAjNdXYHxNtzFT/5A+p891ff/wE1P6uh4BoLenTuKD56BiJnVdtzUffDZyGCvXQ8s3tMRM2jbfeyIjHXHbjXUB9XFX/l2biJlouO1GFmKt75ZvLFW/nFtXpUlPr7sQUOlLifp8KV81KOedZ7Z4Lfd49+8oyuiK3XF+59C9ecuNpwDw2+HPT/mZzITx+moy/16sNcVFirRhMFHrOC0E5TG3phjkTbBpuX8rgG82QppNF7jkuSFve/60FdhbQyNz+6RZQCN32x+87z+20jsV2fbsPDdlxERRsUSjGa9jutypyJJqk/956ukAPO/3H52NQxQR3G+5iHQGXXYTERERERER6TDKzIt0iDhyJaoH9T6fyLrrcL2VBr3drmw+7soIu9zV9CBpy8q3dZrPm3nRjjZvuE7r7g8mdVxPfYl4cyIqssqj4xV+/bBrtnfyn8/fyJG6/b9y6Bk8e6nrrDuvXqe77l4gnpdh4rbjy9pK0302O01DsrzMWm8rzXQNP1zpmnQdv6xJo+G+IoMJC7mfYjAxOWPR6kifZ4Zmw5fKN0NyX7rYaHsvrX8DZNYUFQ3uPrddz8Jiu5mumdk3KDKbutw68xbK1TP6egn2dJ3tn//K1fzqkv7ZOTaRrSQK+1nY69Z4X2L2Y3fj/n9fXI35Re0mAO4Z/ME2PaZK6KfDRRmhrzQLQgjaooJWl/sgDIp9RGTuUTAvMgeM11cU29bm693/nL6389fgNgBes8seLExcYNmVNIn8D24Y26LWxuYUy8XZnElzubOJ9lJwX9qdBmVJeRoW87frzYg7h1xwe8pfr+PBof+cxrtxx/baP5/Hs1acBsCXnxpg/blAtZESVd2xmcAty9Y6nka9LDW/d3g+AC+96bJJn8/Wdt69nwLg/y19NYEvNcytoeE7/kZR2bPA2nLee5oFRdl8MwuLsvksN0Xp/lQXJgJji/sya0i34QUMkW3FJm6pCwPYVjDfVcP4JetM9xBLetzSkLf9w5s46KdfmI3DFJkR71l+DgD/vOcaKq1lTgNLGJQXaY9e6YL8sd0P5cIVwwD8evhzW+V4Duk/yR3PrgNUwyEAkkpK3O1728Tl0nQAoR+iYWCJ/e/eggoYHzqoq73I3KAyexEREREREZEOo8y8yBxTbz4MuDXPWwIMxl97qwSWJy92V/bjOCOMNtCMra2xXVaHvNEqmw+L7HetHhcZ+CwPaPoS8NsG+zj1r1cDMN5Y+7iy4tcOfwaAj958Fqcf4o45TRskdXegUZS3VQQE1Oquqd54PWHcZ7ntpO79W1+WrQPg8vv76HWHwz/t/iiJX4O3vTFQlgekeSsbH/D/PdQPQC2D1gwGa4uZDZO09SfEGHjhLq57f2oN33uwZwbfkcgcEfqMXuKa4AEQhe4fwCzuZ//j1gLw1+8q1yCd5Xn9p/OPu7nqk2csGmJR3/0AJEk2KfttQt9gNjM8d4H7fa2Nxhzc3w/A+/58Oj/0v53W1mbs+ELcD9r+8yZYusD9zlV7U+JeX05fMbi6Gb+//+EK04zQTyE7Yc9VrK6dAcDn/vaBGTs2EdlyCuZF5qgNlduD+6mN/Hw3YyzGz2WzebkcGkDuA/u0FlKvuR/iiVpSdKGvpyH/eVc/AF96aOv+KF+y9iu8euzl7jitoeoD9TCwRfl9Iw2ZaLpju+TenfjIvbO7JNsnVpyLMe7EbCL7d6rh+vvUMsjbgvYL7v+w325s9us183OKbS1HJ9ulzH0pmcZjxkfsr5olESRuoEVheREvihaQpo9uk0MU2VzP7nsrAO88MGP/nd0yql3zGiQ9fmrWPEPQ41epqUaTloFNxtyYqAzWqVTdhaxPdXUz//p3AHDF0JdpNFdt8bEt6XsWAM/v/r/8467utQ5a8jDdfW61mLg3J+zyq9FU264wp7ZYjjWsW0I/nS+JMkKjaWAic4kufYuIiIiIiIh0GGXmReaoPB8ttqtBxBVP3BuAnmR1kZkPQls0kMtS02q4js3KZnL1WsxYzWWYb1o7wCtv/hKwbTul15sP8+zfXADASTufyTsOco1+oqCsPkjzgLdf7zJ0Px+eG5npVob9o/eeS6tL/2QzNwVA2XjZ3pnh4XJ7YqK8o+myhDQ23FBLWXmZq87d9xxOXO6mxs2fV6NnwP2/nCyEoM/97gYDVejyzR97K67zK0AzJRhzZfTh4ARBpe6fdZz3Huay9PNvfQOXDF4CwOjE3dM6pmqyCwD7dj+Hk3fZE4Dn7/5IsfJNT3+DuM+X0M8LCHp8KBCYotTM1jKC1J9nRBTd7MMgJ/aHb0x1RqcBiMiWUTAv0gECTDFnO46yoqN6FOVlmX0akKZ+bnwzLOafj9QqvPCGOwG4f+jH2/rQ13PRI+fzu8ZLAPjcfnvT8HPOX3Hrlawbv2M2D20Ttu3cfZHtjRkZKf9oBfATNUj92Eoz7HjTb+r0ROau8/dz06JO3Hsl8+e5gLZrQZN4kZ9CtqiK6e8GwAz0gl+xga4q1veLMLU6ZsI91lQeJcbNY+/KavTV3MWuJITATH8sGFOlv2u5O7bFe/HCZSsBd6Gh2uculsX9EPa58wPTHWIq5fPbrLzAbvwKLia0BGHZ+OVVy10ioJa9S/PmReYAldmLiIiIiIiIdBhd+haZw/boPxqA9x82SnfFlXxXK02SistkPbbMvunXjR+bSLj6gZ0BeOttH5tzpXB3DV4BwDHXlbe1ms2JyPbJPDoIgI2issw+zWB4zN3+8BB3fk/fAzK3nbvvORy/lyut7+mp07XAN5NbFBAuqgIQLOyFRX3uAf3zsfN6AbA9PRC632mbZUW1igFM3T1PONgoGtSddtAjPPCHfwLgyvEPb/LY3rjru3jzfq5Ev6/nAXp63XlDpS8lHnDnCsFAQtDTajoZQlTm9UzDnVvYWta25MoGlmMRkTlDwbzIHNVT3Yuzdn8qAN3JKqoV9+NeqWYEcVkKVwTzWUC94Yb0A+vm8fY7Pu/un2OBvIjsoB52QYZJonJ+fJph140DkI80uG/dAADP+/1HZ+UQRaby/n1daf0/7b6GauL+/026UsIeHyTPizHzKm7ngV7odaX1dl4vdsECd3tXV1lmX69B6sfBvB5MnyvLD3rGiKr+4n2Ssr+fe7+weThrRq7f4LG9cuezAHjzfmvp63G/+T29Dao7+WVgBwKCeS6AD/oq5Rz+alw8h601mTSdrG1N1dYSslke8NW7FwLwHw9esIlPTES2BZXZi4iIiIiIiHQYZeZF5rDdutzV+Z6uBpWqb4DXXV45tznkvo9UnhvqTTekz76trg7QIjKn2FVDbiNqWxkizcj+5kqNv3T5ct5yqxpqydzUqjqPwrxoQhtGlsDPDDHVEFOJWzthqz5LX6lA4HJnNoog9KfeYVRm6dtfKDC0et6FYU5oWjfHTKW1dH0lTkkqvmqgNyvWkA96IpeRB+hKXFf9ljRnPbklb/i7awGNhhuzjTRsNbyftOKOiMweBfMic8yRfW8B4POHw0CPK0utdqVFEB/EFtuqfktNsZ2mIVneecU2J+18JgC311eR+7l51w99ZTYPSUS2gr3feT8AN7+0j5d82y2ftWdPN33JYgA+fp+WZ5TOY1srKj4mKDY1txScrdddQA+YKCyD+XrdldoD1Bvl43NLXi+nz7XktrnB13/JgjN424FDACRRRuyn4QUVS9DjgnDTHbn58UwurZ8ky7BjLoLPx1KyMfd7XBuNGZtwVyy+eMdiLaMqMsd03pm/iIiIiIiIyA5OmXmROWa3eD4A3ckaKlV3JT6qZoRd7iq5CSjK3/Ic0tSX71nIrLuan8/x7rP7Drh15j+73950h631dLt5z5/dezm8/7XKzotsZ+4b/B8A5n257cbh2TkWkS1lrSFNXZY7Sw1502XCbSPHjvh146tx0bWeaqUoo7dZOU3O1GuYQT8ARsaww74R5HCTZs09opmGNDZQBT+VILCYaAMPSPMy85+2N7nLsL6Lvh2pk69z2+lgTn3YhQi1iZjP374EQFl5kTlIwbzIHGJMwmv3KbvYFkvQJRbj62hsTlFan6Wm6GafW0No3B3BHC+6+ddFBwPQnwyT+wsQSZhzxoGu/O8nj+zC9UOzdXQiIiKTnXmnC2Sj4Bz+aZlbmi6ZiIjHXAAcrG0Wk9eDwBQBvMky6HJL1pmR0XKefK0OQ+sAsKvXka91F7bTEUtt1JW1j9djbhtyFwim6mR/xaMfYuEdZwPwnidNkNX90ndpjq37Cw2pxfjJ7nasXi5Hl+bYCR/Mr2uSjbj9m6MBY/4YbnxkEXet06o4InPV3D7jFxEREREREZH1KDMvMgcY467af/OJ72BZ32oA4jjDhL603riMPLhmO3nDZ+ObAbnPzFtrCHxm/rNPMvxopVsT9z13fnROrTV/+l7n8P92GQQgDHIavlwxDPKissAA/b0uez9RX0O9+fCsHKuIiEi7WkaxckxtIi4azpkwxUStOXCWwGfCTa0JVVdCT1dZck+tiR1yHeHz1eOkq12GvLY2YnTcNcx7zw3z+J+hj2zymDJfrtdIQ5Kmy9MldUPoDydo5EVzO1OJoOGq/mw9xY677Ww4peEXwRkfjrn2AVda//l71vHr4c9N+/MRkW1LwbzIHGD8OjSRsUShOzEIw5zAB/M2M1g/zS1PIa25ALjZCIu5e+ACYoBqlPKPu60B4P/t8lp+tWoAgNNmcdmnKOwH4NglY8Vxtnfft9ZgJy/QIyIiMqe8965zMbiL5cfvuYpgtL1HjWttH6VNSH0wP9bA9Pj165Lxcu56IyMfcQF2urpJfa37/RtZV+H0PywA4AeDH57WMTWL6fAh1k9dy1JD7svs87G0KMW1bZPwbS0rSuvTdTAx4qa6DY92cc0j7txCgbzI3KYyexEREREREZEOo8y8yBwwv3tPgKJMHlxDu6zhrrflWbm2fN4MaDbcFfN6PSqy21luMP7xlTgttgGO2XUVAL8ZeBvPu/GnAAyN3rL13tBjVOIl/OQpLwegN2kUt1sLTX/8gbGcf5srP1hnVm7T4xMREZmuG9e6kvhD+/o5aCdXmx5OtGW8s4y86fYJu1KM7xJvorZ14+tlVrwxFDA25LL3IxMVJrKULZHlhmbTnR8k9ZDUrxVvIotNU7/dtv+EpTnsMvkTIzHrRtyUv8/cvogvPTR7lXwiMn3GWjutNayMUdwvOy5rN/7D+njHRxD0AnDxE0/jiMWuPN51s3evGxhLlrmTgGYzJG1tp2HRDR4giVwwHAY5cZz5Y7NF2V29ETFSc3Px/u53P2Xd+B2P67i3xOl7ncO4Lz+shoY1NXcyc0vtkWKfPw59eYOPlblpa48PkU6m8bH9ev++5/CS3d1vdiVOqSbuv3VSSUm63HYYWcJKK6guH5uOmWLK3NhowvCYC6Tf+adufjT88S06nrfsfjanHeR+S3u761R73UWEuGqLHjzgpu4BNGuG2mhZWv/JWxcBbNNAXuNDZGqbGh+gMnsRERERERGRjqPLXSJzQOvKWy03NFI3LMOgzKiDK58DSLOAP61aCMDO1Tq3j3QDcNSSNcU+UQhh5DLeUVSW/gVBeWX+lCUv40P3nLu13tKUPvvQVzG4bMR4fUVxuzEJ1jamepiIiMic8otV69i7px+AJy4YKqa9NdOQRt03to2yopltGNjidzpLA2p1lxUfqVV49/UuM7+lWfmWNHO/r41GBK5ZPlm9bKgLUK+V+4xMuGq9T92+gAtXqrRepNMomBeZA1pLx736pvM5cdGZAJx16GDR9b2eRkR++6/D86n5k4FaFhZz6Zt5UOxvjC3m3wdxGcwnhmL/V+69ituH/h2AKx+dXsfcmTBRf2CDtyuQFxGRTnLN8KdYe99JAHTf28srdnNl6kftvJawWZ5it/ewaV2kb2Qh37jHda3/wsqvUGs89LiPZ13D0vDBvGnExcWFNM2KfZppWCyt94lbd+KrD3/cH9fcWcJWRKZPZfYiIiIiIiIiHUYN8ESmYVs2aHnJgjMA6IkDqqG73nb/2AR3BLcB0G+XMGLWAnDP0I/44H6nAzDYgNfs29b4xjffibszjL9sl6fQnHBX7UdHKtz9qFt//vl/umRGsgKyY1IDI5GpaXzsGHbrf06xPVS/j9GJewB4025n8aQBd6r9cC3gP1f/LwAPDv1ixo/BmCrvWObOCf5lr0cJTVmZl1l3InDBbf1885HzZvy1t5TGh8jUptMAT8G8yDTMxo9NEPSS56PF31HkyvEO7H1+EcyvGPo55+3rfrjXNeH1B6wEoLurUXax7c4J3Io35A1ojrsf9NpozMiYmyt33SOLeOWNHwHAsmVL4siOSydjIlPT+JBtqZrsAsDePUexW74UgLuCO7hn8AezeVhT0vgQmZq62YuIiIiIiIhsh3S5S2SOas/KA6TpMAA3D11U3GZMddI+rSY7cZIR+XVtgyoY3xQ/qEJkXdld3MhI6q4pTk+UYQL3XPYxrysiIrJjM8C0CllnXWvK3K2Ni7l1lo9FRLY+BfMiHSPb6L0nLV9DFLpAPQgtxi9DYwyYxEfzjQ2fjOw9f4QTd3orAJesPn+GjldERKRzJfFiABrN1bN8JCIiG6YyexEREREREZEOo8y8SIcLWiX0xhL6zDzB5Ay89Rn5vAl5wz2g2QhppK6z/c2P9nHp2k9vmwMWEREREZHHTcG8SIfLN1A5b9OAvNm6w9JasyJvGOqjbtiPTyR8/vYlAHz6/nO3wZGKiIiIiMhMUZm9iIiIiIiISIdRZl6ko+VkPuvezAOaTVc2H0Y5jLvbTWDJM1daX69FjE24RedP+l3IdcPKyIuIiGxIo7nKb5lZPQ4RkakYa+201towRnG/7LisTTd6/1wYH597wtk8d1d34hFHGWHbvPm6D/JvWbuAl934FQCa6Zptf5CyXeqE8SEyWzQ+RKam8SEytU2ND1BmXuagww47ZLYPQWTO0vgQmZrGh8jUND5Eptap40PBvGw3XvrSl9Ld3c03v/nNaT/m4IMP5uyzz6ZSqfDII49w1llnsXp1Z64ne9EDa3jGQldCH6V5cXuWB3zjngFAje52ZDv6+BDZGI0PkalpfIhMbbbHh8rsZc7ZVlfGjDFceeWVfOADH+CPf/wjJ510Eocccginn376evvecMMNm3gujQ/ZNjQ+RKam8SEyNY0Pkal14vgAdbOXOer888/n4osv5rLLLuMzn/kMO+20EwCHH3443//+95k/fz4A7373uzn77LMBeMMb3sA73/lOAA455BAuvvhiLr30Ui6//HKOP/749V7jwAMPJMsy/vjHPwLwne98h2c/+9kkSbIt3qLIFtP4EJmaxofI1DQ+RKbWieNDl7tkTvr4xz/O4OAgAK9+9at54xvfyPnnn8/111/PlVdeybnnnstVV13Fk570JF75yleu9/iTTz6Ziy66iKuvvhqAefPmrbfP0qVLWblyZfH3+Pg4Y2NjLFq0iAcffHArvTORx0/jQ2RqGh8iU9P4EJlaJ44PBfMyJx177LG84AUvIEkSkiRhaGiouO+rX/0qn/vc5zj77LP5l3/5FxqNxnqP/8Mf/sDrXvc69thjD37/+99z4403bruDF9nKND5EpqbxITI1jQ+RqXXi+FCZvcw5hx12GP/8z//MW97yFo4//nguuOACKpVKcX9PTw+77bYbExMTDAwMbPA5LrnkEk499VRWr17NqaeeyhlnnLHePitXrmTp0qXF393d3fT29qpBi8xpGh8iU9P4EJmaxofI1Dp1fCiYlzln/vz5jI+PMzw8TBRFHHfccZPuf+9738v//M//cPrpp3PeeefR19e33nMsW7aMhx56iO9+97tceOGFHHLI+k0tbr/9dqIo4slPfjIAxx13HL/61a82eKVNZK7Q+BCZmsaHyNQ0PkSm1qnjQ2X2Muf85je/4XnPex7f/e53GR4e5rrrrmPx4sUAvOxlL2P+/Pl8+ctfxlrL5Zdfzgc+8AFOO+20Sc9x4okn8pSnPIVms0me51xwwQXrvY61lrPOOoszzzyTSqXC6tWrOeuss7bJexTZUhofIlPT+BCZmsaHyNQ6dXxoaTqZc7bV0hCbQ0unyFyh8SEyNY0PkalpfIhMrRPHB2xGMC8iIiIiIiIic4PmzIuIiIiIiIh0GAXzIiIiIiIiIh1GwbyIiIiIiIhIh1EwLyIiIiIiItJhFMyLiIiIiIiIdBgF8yIiIiIiIiIdRsG8iIiIiIiISIdRMC8iIiIiIiLSYRTMi4iIiIiIiHSY/x+YAPCpLkjzRwAAAABJRU5ErkJggg==",
       "text/plain": [
-       "  0%|          | 0/10 [00:00<?, ?it/s]"
+       "<Figure size 1000x200 with 5 Axes>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Epoch   0, train loss: 1.6080, val loss: 1.4188\n",
-      "Epoch   5, train loss: 1.2956, val loss: 1.2803\n"
-     ]
-    },
     {
      "data": {
-      "image/png": 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",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 1600x600 with 1 Axes>"
+       "<Figure size 1000x200 with 5 Axes>"
       ]
      },
+     "execution_count": 1,
      "metadata": {},
-     "output_type": "display_data"
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "# Load saved model \n",
+    "# \n",
     "import qim3d\n",
     "import glob\n",
     "import torch\n",
@@ -637,9 +633,9 @@
     "                                           learning_rate = 5e-3, loss_function='DiceCE',\n",
     "                                           weight_decay=1e-3)\n",
     "\n",
-    "qim3d.ml.train_model(model, hyperparameters, train_loader, val_loader, plot=True)\n",
+    "# qim3d.ml.train_model(model, hyperparameters, train_loader, val_loader, plot=True)\n",
     "\n",
-    "# model.load_state_dict(torch.load(f'{base_path}/this_works.pth'))\n"
+    "model.load_state_dict(torch.load(f'{base_path}/this_works_with_resunits_with_aug.pth'))\n"
    ]
   },
   {
diff --git a/qim3d/ml/_augmentations.py b/qim3d/ml/_augmentations.py
index e3b269e47e4309e4582c63e6b189bdbe6e213dd8..5aca90fdc6b059b8d0283ff7e1766c1d1b362319 100644
--- a/qim3d/ml/_augmentations.py
+++ b/qim3d/ml/_augmentations.py
@@ -5,25 +5,29 @@ class Augmentation:
     Class for defining image augmentation transformations using the MONAI library.
         
     Args:
-        resize (str, optional): Specifies how the images should be reshaped to the appropriate size.
-        trainsform_train (str, optional): Level of transformation for the training set.
-        transform_validation (str, optional): Level of transformation for the validation set.
-        transform_test (str, optional): Level of transformation for the test set.
+        resize (str, optional): Specifies how the images should be reshaped to the appropriate size, either 'crop', 'resize', or 'padding'. Defaults to 'crop'.
+        trainsform_train (str, optional): Level of transformation for the training set, either 'light', 'moderate', 'heavy' or None. Defaults to 'moderate'.
+        transform_validation (str, optional): Level of transformation for the validation set, either 'light', 'moderate', 'heavy' or None. Defaults to None.
+        transform_test (str, optional): Level of transformation for the test set, either 'light', 'moderate', 'heavy' or None. Defaults to None.
 
     Raises:
-        ValueError: If the ´resize´ is neither 'crop', 'resize' nor 'padding'.
+        ValueError: If `resize` is neither 'crop', 'resize' nor 'padding'.
     
     Example:
-        my_augmentation = Augmentation(resize = 'crop', transform_train = 'light')
+        ```python
+        import qim3d
+
+        augmentation =  qim3d.ml.Augmentation(resize = 'crop', transform_train = 'light')
+        ```
     """
     
     def __init__(
             self, 
             resize: str = 'crop', 
-            transform_train: str = 'moderate', 
+            transform_train: str | None = 'moderate', 
             transform_validation: str | None = None,
             transform_test: str | None = None,
-        ):
+            ):
 
         if resize not in ['crop', 'reshape', 'padding']:
             msg = f"Invalid resize type: {resize}. Use either 'crop', 'resize' or 'padding'."
@@ -34,13 +38,17 @@ class Augmentation:
         self.transform_validation = transform_validation
         self.transform_test = transform_test
     
-    def augment(self, img_shape: tuple, level: str | None = None):
-        """
+    def augment(
+            self, 
+            img_shape: tuple, 
+            level: str | None = None
+            ): 
+        """ 
         Creates an augmentation pipeline based on the specified level.
 
         Args:
-            img_shape (tuple): Dimensions of the image.
-            level (str, optional): Level of augmentation. One of [None, 'light', 'moderate', 'heavy'].
+            img_shape (tuple): Dimensions of the volume as (D, W, H).
+            level (str, optional): Level of augmentation, either 'light', 'moderate', 'heavy' or None. Defaults to None.
 
         Raises:
             ValueError: If `img_shape` is not 3D.
diff --git a/qim3d/ml/_data.py b/qim3d/ml/_data.py
index a5717b79cc4d697e1aad80031055acc5a4504674..0fe9840f864fbaa66b844436a3ae9c1bbc3e80f6 100644
--- a/qim3d/ml/_data.py
+++ b/qim3d/ml/_data.py
@@ -78,6 +78,8 @@ class Dataset(torch.utils.data.Dataset):
         target = np.expand_dims(target, axis=0)
 
         if self.transform:
+
+            # Apply augmentation
             transformed = self.transform({"image": image, "label": target})
             image = transformed["image"]
             target = transformed["label"]