Looking for a larger face landmark dataset for Developing Custom PyTorch Dataloaders Tutorial

Mona_Jalal: <p>Do you know another Face Landmark dataset that is in the same format? aka 68 landmarks in csv format for the groundtruth? I am looking for something with at least 1000 data point and this one only has 69 data points. For example, ibug dataset has a .pt for each image not an integrated .csv groundtruth<br>
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      <a href="https://github.com/Gogumee/warp/blob/master/face_landmarks.csv" target="_blank" rel="noopener nofollow ugc">github.com</a>
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    <h4><a href="https://github.com/Gogumee/warp/blob/master/face_landmarks.csv" target="_blank" rel="noopener nofollow ugc">Gogumee/warp/blob/master/face_landmarks.csv</a></h4>
<pre><code class="lang-csv">image_name,part_0_x,part_0_y,part_1_x,part_1_y,part_2_x,part_2_y,part_3_x,part_3_y,part_4_x,part_4_y,part_5_x,part_5_y,part_6_x,part_6_y,part_7_x,part_7_y,part_8_x,part_8_y,part_9_x,part_9_y,part_10_x,part_10_y,part_11_x,part_11_y,part_12_x,part_12_y,part_13_x,part_13_y,part_14_x,part_14_y,part_15_x,part_15_y,part_16_x,part_16_y,part_17_x,part_17_y,part_18_x,part_18_y,part_19_x,part_19_y,part_20_x,part_20_y,part_21_x,part_21_y,part_22_x,part_22_y,part_23_x,part_23_y,part_24_x,part_24_y,part_25_x,part_25_y,part_26_x,part_26_y,part_27_x,part_27_y,part_28_x,part_28_y,part_29_x,part_29_y,part_30_x,part_30_y,part_31_x,part_31_y,part_32_x,part_32_y,part_33_x,part_33_y,part_34_x,part_34_y,part_35_x,part_35_y,part_36_x,part_36_y,part_37_x,part_37_y,part_38_x,part_38_y,part_39_x,part_39_y,part_40_x,part_40_y,part_41_x,part_41_y,part_42_x,part_42_y,part_43_x,part_43_y,part_44_x,part_44_y,part_45_x,part_45_y,part_46_x,part_46_y,part_47_x,part_47_y,part_48_x,part_48_y,part_49_x,part_49_y,part_50_x,part_50_y,part_51_x,part_51_y,part_52_x,part_52_y,part_53_x,part_53_y,part_54_x,part_54_y,part_55_x,part_55_y,part_56_x,part_56_y,part_57_x,part_57_y,part_58_x,part_58_y,part_59_x,part_59_y,part_60_x,part_60_y,part_61_x,part_61_y,part_62_x,part_62_y,part_63_x,part_63_y,part_64_x,part_64_y,part_65_x,part_65_y,part_66_x,part_66_y,part_67_x,part_67_y
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137341995_e7c48e9a75.jpg,-4,129,1,178,10,231,30,276,59,314,98,349,135,375,171,398,205,402,242,387,284,358,327,327,366,290,390,240,398,185,394,126,391,66,10,77,23,45,52,23,92,14,130,21,180,13,209,-5,248,-6,284,2,317,19,157,67,158,93,160,121,161,150,129,184,152,188,176,190,197,182,216,170,47,102,65,81,91,78,123,91,95,100,69,105,211,72,232,54,258,48,283,58,263,70,237,74,119,265,134,240,156,224,178,226,199,216,237,224,271,238,249,289,218,311,194,316,170,318,144,303,130,265,161,244,182,241,204,238,260,241,210,281,188,286,166,286
1383023626_8a49e4879a.jpg,0,48,-6,94,-10,141,-8,186,6,228,26,265,49,299,78,325,110,334,140,328,166,303,191,276,218,248,245,219,265,187,278,152,287,114,55,64,84,58,113,61,141,70,164,85,216,90,236,79,258,75,278,75,291,84,185,113,182,145,180,176,176,208,127,198,145,210,164,221,185,214,200,203,80,96,101,99,119,101,135,107,116,107,98,104,214,112,233,110,249,111,263,112,248,117,232,116,70,216,104,222,135,226,152,231,168,228,185,</code></pre>

  This file has been truncated. <a href="https://github.com/Gogumee/warp/blob/master/face_landmarks.csv" target="_blank" rel="noopener nofollow ugc">show original</a>

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      <a href="https://pytorch.org/tutorials/recipes/recipes/custom_dataset_transforms_loader.html" target="_blank" rel="noopener nofollow ugc">pytorch.org</a>
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<h3><a href="https://pytorch.org/tutorials/recipes/recipes/custom_dataset_transforms_loader.html" target="_blank" rel="noopener nofollow ugc">Developing Custom PyTorch Dataloaders — PyTorch Tutorials 1.6.0 documentation</a></h3>



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<pre><code class="lang-auto">(base) mona@mona:~/research/facial_landmark$ ls ibug_300W_large_face_landmark_dataset
total 43M
drwxrwxr-x 4 mona mona 4.0K Aug  9  2014 helen
drwxrwxr-x 4 mona mona 4.0K Aug  9  2014 lfpw
drwxrwxr-x 2 mona mona  40K Aug 16  2014 afw
drwxrwxr-x 2 mona mona  20K Aug 16  2014 ibug
-rw-rw-r-- 1 mona mona 4.0K Aug 16  2014 image_metadata_stylesheet.xsl
-rw-rw-r-- 1 mona mona  21M Aug 16  2014 labels_ibug_300W.xml
-rw-rw-r-- 1 mona mona  19M Aug 16  2014 labels_ibug_300W_train.xml
-rw-rw-r-- 1 mona mona 2.8M Aug 16  2014 labels_ibug_300W_test.xml
drwxrwxr-x 6 mona mona 4.0K Jul 24  2015 .
drwxrwxr-x 6 mona mona 4.0K Oct  6 21:28 ..
</code></pre>