diff --git a/notebooks/apply deepface.ipynb b/notebooks/apply deepface.ipynb
new file mode 100644
index 0000000..c2b47cb
--- /dev/null
+++ b/notebooks/apply deepface.ipynb	
@@ -0,0 +1,165 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from deepface import DeepFace\n",
+    "import pandas as pd\n",
+    "import os\n",
+    "\n",
+    "\n",
+    "os.chdir('../../rfiw2021')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.read_csv('Track1/sample0/val.txt', sep=\" \", header=None)\n",
+    "df.columns = ['index', 'face1_path', 'face2_path', 'kinship', 'label']\n",
+    "df.drop('index', axis=1, inplace=True) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 112,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from tqdm import tqdm\n",
+    "\n",
+    "def analyze_batch(df, b, name):\n",
+    "    base_file = 'Track1/'\n",
+    "    \n",
+    "    age = []\n",
+    "    gender = []\n",
+    "    race = []\n",
+    "\n",
+    "    for i, data in tqdm(df.iterrows(), total=len(df), desc=f\"Processing batch {b}\"):\n",
+    "\n",
+    "        obj = DeepFace.analyze(img_path = base_file+data['face'], enforce_detection=False, silent=True,\n",
+    "            actions = ['age', 'gender', 'race']\n",
+    "        )[0]\n",
+    "\n",
+    "        age.append(obj['age'])\n",
+    "        gender.append(obj['dominant_gender'])\n",
+    "        race.append(obj['dominant_race'])\n",
+    "\n",
+    "\n",
+    "    df['age'] = age\n",
+    "    df['gender'] = gender\n",
+    "    df['race'] = race\n",
+    "\n",
+    "    df.to_csv(f'fiw/{name}-{b}.csv', index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 115,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Processing batch 0: 100%|██████████| 128/128 [00:50<00:00,  2.55it/s]\n",
+      "Processing batch 1: 100%|██████████| 128/128 [00:49<00:00,  2.58it/s]\n",
+      "Processing batch 2: 100%|██████████| 128/128 [00:51<00:00,  2.49it/s]\n",
+      "Processing batch 3: 100%|██████████| 128/128 [00:51<00:00,  2.48it/s]\n",
+      "Processing batch 4: 100%|██████████| 128/128 [00:50<00:00,  2.52it/s]\n",
+      "Processing batch 5: 100%|██████████| 128/128 [00:48<00:00,  2.63it/s]\n",
+      "Processing batch 6: 100%|██████████| 128/128 [00:51<00:00,  2.46it/s]\n",
+      "Processing batch 7: 100%|██████████| 128/128 [00:51<00:00,  2.49it/s]\n",
+      "Processing batch 8: 100%|██████████| 128/128 [00:48<00:00,  2.62it/s]\n",
+      "Processing batch 9: 100%|██████████| 128/128 [00:47<00:00,  2.71it/s]\n",
+      "Processing batch 10: 100%|██████████| 128/128 [00:49<00:00,  2.58it/s]\n",
+      "Processing batch 11: 100%|██████████| 128/128 [00:49<00:00,  2.61it/s]\n",
+      "Processing batch 12: 100%|██████████| 128/128 [00:49<00:00,  2.59it/s]\n",
+      "Processing batch 13: 100%|██████████| 128/128 [00:48<00:00,  2.63it/s]\n",
+      "Processing batch 14: 100%|██████████| 128/128 [00:51<00:00,  2.47it/s]\n",
+      "Processing batch 15: 100%|██████████| 128/128 [00:49<00:00,  2.59it/s]\n",
+      "Processing batch 16: 100%|██████████| 128/128 [00:48<00:00,  2.64it/s]\n",
+      "Processing batch 17: 100%|██████████| 128/128 [00:47<00:00,  2.69it/s]\n",
+      "Processing batch 18: 100%|██████████| 128/128 [00:50<00:00,  2.55it/s]\n",
+      "Processing batch 19: 100%|██████████| 128/128 [00:51<00:00,  2.48it/s]\n",
+      "Processing batch 20: 100%|██████████| 128/128 [00:49<00:00,  2.61it/s]\n",
+      "Processing batch 21: 100%|██████████| 128/128 [00:48<00:00,  2.66it/s]\n",
+      "Processing batch 22: 100%|██████████| 128/128 [00:50<00:00,  2.54it/s]\n",
+      "Processing batch 23: 100%|██████████| 128/128 [00:50<00:00,  2.55it/s]\n",
+      "Processing batch 24: 100%|██████████| 128/128 [00:49<00:00,  2.57it/s]\n",
+      "Processing batch 25: 100%|██████████| 128/128 [00:48<00:00,  2.66it/s]\n",
+      "Processing batch 26: 100%|██████████| 128/128 [00:51<00:00,  2.50it/s]\n",
+      "Processing batch 27: 100%|██████████| 128/128 [00:53<00:00,  2.39it/s]\n",
+      "Processing batch 28: 100%|██████████| 128/128 [00:49<00:00,  2.56it/s]\n",
+      "Processing batch 29: 100%|██████████| 128/128 [00:50<00:00,  2.55it/s]\n",
+      "Processing batch 30: 100%|██████████| 128/128 [00:49<00:00,  2.57it/s]\n",
+      "Processing batch 31: 100%|██████████| 128/128 [00:49<00:00,  2.59it/s]\n",
+      "Processing batch 32: 100%|██████████| 128/128 [00:52<00:00,  2.45it/s]\n",
+      "Processing batch 33: 100%|██████████| 128/128 [00:53<00:00,  2.38it/s]\n",
+      "Processing batch 34: 100%|██████████| 128/128 [00:54<00:00,  2.33it/s]\n",
+      "Processing batch 35: 100%|██████████| 128/128 [00:55<00:00,  2.32it/s]\n",
+      "Processing batch 36: 100%|██████████| 128/128 [00:55<00:00,  2.29it/s]\n",
+      "Processing batch 37: 100%|██████████| 128/128 [00:57<00:00,  2.21it/s]\n",
+      "Processing batch 38: 100%|██████████| 128/128 [00:59<00:00,  2.15it/s]\n",
+      "Processing batch 39: 100%|██████████| 128/128 [00:59<00:00,  2.16it/s]\n",
+      "Processing batch 40: 100%|██████████| 106/106 [00:48<00:00,  2.17it/s]\n"
+     ]
+    }
+   ],
+   "source": [
+    "batch_size = 128\n",
+    "\n",
+    "num_batches = len(df) // batch_size + 1 if len(df) % batch_size != 0 else len(df) // batch_size\n",
+    "\n",
+    "for i in range(num_batches):\n",
+    "    start_idx = i * batch_size\n",
+    "    end_idx = (i + 1) * batch_size\n",
+    "    batch_df = df.iloc[start_idx:end_idx]\n",
+    "\n",
+    "    if os.path.exists(f'fiw/test-{i}.csv'):\n",
+    "        continue\n",
+    "\n",
+    "    analyze_batch(batch_df, i, 'test') "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 117,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dfs = []\n",
+    "for i in range(40):\n",
+    "    dfs.append(pd.read_csv(f'fiw/test-{i}.csv'))\n",
+    "\n",
+    "df = pd.concat(dfs).to_csv('fiw/test_with_deepface.csv', index=False)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "research",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.18"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/data/FIW & DeepFace/test.csv b/notebooks/data/FIW & DeepFace/test.csv
new file mode 100644
index 0000000..617b166
--- /dev/null
+++ b/notebooks/data/FIW & DeepFace/test.csv	
@@ -0,0 +1,5121 @@
+face,age,gender,race
+Test/test-faces/face1044.jpg,42,Woman,white
+Test/test-faces/face4196.jpg,24,Man,asian
+Test/test-faces/face4832.jpg,24,Man,black
+Test/test-faces/face3613.jpg,49,Man,white
+Test/test-faces/face3896.jpg,31,Man,white
+Test/test-faces/face2021.jpg,31,Man,white
+Test/test-faces/face3632.jpg,31,Woman,white
+Test/test-faces/face3125.jpg,26,Man,asian
+Test/test-faces/face4914.jpg,29,Man,white
+Test/test-faces/face679.jpg,23,Man,white
+Test/test-faces/face677.jpg,34,Man,white
+Test/test-faces/face3441.jpg,28,Man,black
+Test/test-faces/face3730.jpg,33,Man,black
+Test/test-faces/face4420.jpg,35,Man,asian
+Test/test-faces/face2656.jpg,29,Man,white
+Test/test-faces/face1188.jpg,22,Man,latino hispanic
+Test/test-faces/face4886.jpg,29,Man,asian
+Test/test-faces/face1699.jpg,30,Man,white
+Test/test-faces/face826.jpg,32,Man,middle eastern
+Test/test-faces/face1315.jpg,28,Woman,white
+Test/test-faces/face2453.jpg,28,Woman,white
+Test/test-faces/face2276.jpg,23,Man,black
+Test/test-faces/face1336.jpg,27,Woman,white
+Test/test-faces/face3577.jpg,26,Woman,latino hispanic
+Test/test-faces/face4038.jpg,32,Man,white
+Test/test-faces/face2975.jpg,25,Man,black
+Test/test-faces/face1527.jpg,30,Woman,middle eastern
+Test/test-faces/face4997.jpg,29,Man,white
+Test/test-faces/face3046.jpg,33,Man,asian
+Test/test-faces/face346.jpg,28,Man,white
+Test/test-faces/face2842.jpg,21,Man,white
+Test/test-faces/face4228.jpg,22,Man,asian
+Test/test-faces/face740.jpg,24,Man,white
+Test/test-faces/face4616.jpg,27,Man,white
+Test/test-faces/face4019.jpg,30,Man,black
+Test/test-faces/face4350.jpg,30,Woman,asian
+Test/test-faces/face3729.jpg,30,Man,asian
+Test/test-faces/face4227.jpg,29,Woman,white
+Test/test-faces/face682.jpg,40,Man,white
+Test/test-faces/face2892.jpg,30,Man,white
+Test/test-faces/face1830.jpg,24,Man,white
+Test/test-faces/face816.jpg,32,Woman,white
+Test/test-faces/face4976.jpg,27,Man,white
+Test/test-faces/face4621.jpg,33,Man,white
+Test/test-faces/face2596.jpg,30,Man,white
+Test/test-faces/face3872.jpg,36,Man,asian
+Test/test-faces/face3418.jpg,36,Woman,white
+Test/test-faces/face4139.jpg,22,Man,asian
+Test/test-faces/face2326.jpg,26,Woman,white
+Test/test-faces/face282.jpg,25,Man,asian
+Test/test-faces/face4242.jpg,29,Woman,white
+Test/test-faces/face1074.jpg,24,Woman,white
+Test/test-faces/face3952.jpg,32,Woman,white
+Test/test-faces/face3931.jpg,28,Man,middle eastern
+Test/test-faces/face1461.jpg,25,Man,middle eastern
+Test/test-faces/face4233.jpg,31,Man,white
+Test/test-faces/face4316.jpg,34,Man,black
+Test/test-faces/face3990.jpg,24,Woman,white
+Test/test-faces/face1199.jpg,39,Man,white
+Test/test-faces/face2550.jpg,23,Woman,white
+Test/test-faces/face1906.jpg,25,Man,white
+Test/test-faces/face4451.jpg,40,Woman,asian
+Test/test-faces/face685.jpg,30,Man,white
+Test/test-faces/face1647.jpg,37,Man,white
+Test/test-faces/face609.jpg,26,Man,white
+Test/test-faces/face1144.jpg,33,Man,white
+Test/test-faces/face4130.jpg,24,Woman,white
+Test/test-faces/face4575.jpg,23,Man,white
+Test/test-faces/face4821.jpg,25,Woman,white
+Test/test-faces/face4603.jpg,30,Man,white
+Test/test-faces/face3126.jpg,34,Woman,asian
+Test/test-faces/face3202.jpg,33,Man,white
+Test/test-faces/face4983.jpg,29,Woman,white
+Test/test-faces/face3188.jpg,30,Man,asian
+Test/test-faces/face5132.jpg,27,Man,latino hispanic
+Test/test-faces/face842.jpg,36,Man,white
+Test/test-faces/face2638.jpg,34,Man,asian
+Test/test-faces/face4088.jpg,33,Woman,white
+Test/test-faces/face3751.jpg,27,Man,white
+Test/test-faces/face4955.jpg,27,Woman,white
+Test/test-faces/face529.jpg,25,Man,white
+Test/test-faces/face960.jpg,25,Man,middle eastern
+Test/test-faces/face5137.jpg,43,Woman,white
+Test/test-faces/face716.jpg,24,Man,white
+Test/test-faces/face1536.jpg,29,Woman,asian
+Test/test-faces/face71.jpg,29,Man,latino hispanic
+Test/test-faces/face3601.jpg,35,Man,indian
+Test/test-faces/face2746.jpg,34,Woman,white
+Test/test-faces/face3842.jpg,37,Man,white
+Test/test-faces/face5045.jpg,26,Man,asian
+Test/test-faces/face425.jpg,25,Man,white
+Test/test-faces/face1752.jpg,23,Woman,white
+Test/test-faces/face4042.jpg,24,Man,asian
+Test/test-faces/face936.jpg,28,Man,asian
+Test/test-faces/face4907.jpg,21,Man,indian
+Test/test-faces/face614.jpg,26,Man,black
+Test/test-faces/face4249.jpg,30,Woman,white
+Test/test-faces/face3326.jpg,30,Woman,white
+Test/test-faces/face3261.jpg,25,Man,white
+Test/test-faces/face2236.jpg,24,Man,latino hispanic
+Test/test-faces/face4396.jpg,22,Man,white
+Test/test-faces/face2730.jpg,23,Man,white
+Test/test-faces/face2946.jpg,35,Woman,white
+Test/test-faces/face5121.jpg,42,Man,white
+Test/test-faces/face3581.jpg,34,Man,black
+Test/test-faces/face1873.jpg,25,Man,white
+Test/test-faces/face1089.jpg,27,Man,indian
+Test/test-faces/face898.jpg,27,Man,black
+Test/test-faces/face4775.jpg,27,Man,asian
+Test/test-faces/face3892.jpg,34,Woman,white
+Test/test-faces/face3315.jpg,33,Man,latino hispanic
+Test/test-faces/face4696.jpg,24,Man,white
+Test/test-faces/face5174.jpg,32,Woman,latino hispanic
+Test/test-faces/face5074.jpg,23,Man,white
+Test/test-faces/face2580.jpg,25,Man,white
+Test/test-faces/face2323.jpg,35,Man,middle eastern
+Test/test-faces/face2468.jpg,30,Woman,asian
+Test/test-faces/face32.jpg,28,Man,white
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+Test/test-faces/face379.jpg,31,Woman,latino hispanic
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+Test/test-faces/face1686.jpg,31,Man,black
+Test/test-faces/face2317.jpg,31,Woman,asian
+Test/test-faces/face4419.jpg,29,Woman,white
+Test/test-faces/face3304.jpg,33,Man,asian
+Test/test-faces/face3036.jpg,34,Man,asian
+Test/test-faces/face1933.jpg,27,Man,white
+Test/test-faces/face4965.jpg,39,Man,white
+Test/test-faces/face4311.jpg,24,Man,white
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+Test/test-faces/face2633.jpg,40,Man,white
+Test/test-faces/face2676.jpg,30,Man,black
+Test/test-faces/face4123.jpg,31,Man,asian
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+Test/test-faces/face2690.jpg,22,Woman,white
+Test/test-faces/face3350.jpg,44,Man,black
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+Test/test-faces/face979.jpg,31,Woman,white
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+Test/test-faces/face5190.jpg,26,Woman,white
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+Test/test-faces/face560.jpg,32,Man,white
+Test/test-faces/face435.jpg,24,Man,middle eastern
+Test/test-faces/face1596.jpg,33,Man,white
+Test/test-faces/face4475.jpg,32,Man,asian
+Test/test-faces/face4740.jpg,36,Woman,asian
+Test/test-faces/face667.jpg,23,Man,white
+Test/test-faces/face2489.jpg,27,Man,white
+Test/test-faces/face3808.jpg,25,Man,white
+Test/test-faces/face2346.jpg,30,Man,black
+Test/test-faces/face1078.jpg,22,Man,asian
+Test/test-faces/face3189.jpg,26,Man,white
+Test/test-faces/face4358.jpg,28,Man,latino hispanic
+Test/test-faces/face1445.jpg,33,Man,asian
+Test/test-faces/face245.jpg,26,Man,latino hispanic
+Test/test-faces/face474.jpg,30,Man,asian
+Test/test-faces/face4143.jpg,24,Woman,white
+Test/test-faces/face2890.jpg,32,Woman,white
+Test/test-faces/face5087.jpg,23,Man,asian
+Test/test-faces/face598.jpg,31,Man,white
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+Test/test-faces/face2362.jpg,29,Woman,white
+Test/test-faces/face2924.jpg,31,Man,white
+Test/test-faces/face2391.jpg,31,Man,white
+Test/test-faces/face1262.jpg,28,Man,latino hispanic
+Test/test-faces/face3683.jpg,32,Woman,black
+Test/test-faces/face2226.jpg,41,Man,black
+Test/test-faces/face4512.jpg,33,Woman,white
+Test/test-faces/face1865.jpg,40,Woman,white
+Test/test-faces/face1264.jpg,25,Man,white
+Test/test-faces/face1621.jpg,32,Woman,white
+Test/test-faces/face2135.jpg,22,Man,white
+Test/test-faces/face3384.jpg,21,Man,white
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diff --git a/notebooks/data/FIW & DeepFace/train.csv b/notebooks/data/FIW & DeepFace/train.csv
new file mode 100644
index 0000000..df13ec8
--- /dev/null
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