init: data
Browse files- .gitattributes +1 -0
- data/helmet_detection.csv +47 -0
- data/images.tar.gz +3 -0
- data/masks.tar.gz +3 -0
- face_segmentation.py +76 -0
.gitattributes
CHANGED
@@ -52,3 +52,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.jpg filter=lfs diff=lfs merge=lfs -text
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*.jpeg filter=lfs diff=lfs merge=lfs -text
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*.webp filter=lfs diff=lfs merge=lfs -text
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*.jpg filter=lfs diff=lfs merge=lfs -text
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*.jpeg filter=lfs diff=lfs merge=lfs -text
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*.webp filter=lfs diff=lfs merge=lfs -text
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+
data filter=lfs diff=lfs merge=lfs -text
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data/helmet_detection.csv
ADDED
@@ -0,0 +1,47 @@
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+
image_id,image_name,mask_name,bboxes
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+
0,0.png,0.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '812.33', 'ytl': '939.39', 'xbr': '849.61', 'ybr': '988.62', 'z_order': '0'}]"
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+
1,1.png,1.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '315.52', 'ytl': '179.14', 'xbr': '348.79', 'ybr': '230.03', 'z_order': '0'}]"
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+
2,2.png,2.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '171.21', 'ytl': '139.41', 'xbr': '207.73', 'ybr': '195.56', 'z_order': '0'}]"
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+
3,3.png,3.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '167.14', 'ytl': '7.79', 'xbr': '245.10', 'ybr': '134.40', 'z_order': '0'}]"
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+
4,4.png,4.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '319.75', 'ytl': '205.09', 'xbr': '352.89', 'ybr': '244.33', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '587.60', 'ytl': '189.54', 'xbr': '602.48', 'ybr': '208.48', 'z_order': '0'}]"
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+
5,5.png,5.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '567.57', 'ytl': '73.43', 'xbr': '584.42', 'ybr': '93.20', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '334.60', 'ytl': '260.65', 'xbr': '355.01', 'ybr': '282.04', 'z_order': '0'}]"
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+
6,6.png,6.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '362.00', 'ytl': '272.53', 'xbr': '378.02', 'ybr': '290.31', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '355.23', 'ytl': '306.08', 'xbr': '381.15', 'ybr': '333.36', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '325.37', 'ytl': '284.01', 'xbr': '340.89', 'ybr': '298.63', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '365.87', 'ytl': '97.56', 'xbr': '375.32', 'ybr': '111.51', 'z_order': '0'}]"
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+
7,7.png,7.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '293.52', 'ytl': '188.94', 'xbr': '313.77', 'ybr': '213.88', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '265.02', 'ytl': '222.88', 'xbr': '289.96', 'ybr': '247.26', 'z_order': '0'}]"
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+
8,8.png,8.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '376.03', 'ytl': '179.92', 'xbr': '395.72', 'ybr': '202.43', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '265.70', 'ytl': '222.19', 'xbr': '289.45', 'ybr': '247.35', 'z_order': '0'}]"
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+
9,9.png,9.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '611.94', 'ytl': '142.22', 'xbr': '630.38', 'ybr': '165.03', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '178.24', 'ytl': '114.86', 'xbr': '196.05', 'ybr': '133.61', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '295.06', 'ytl': '222.60', 'xbr': '316.21', 'ybr': '250.05', 'z_order': '0'}]"
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+
10,10.png,10.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '316.34', 'ytl': '141.37', 'xbr': '351.45', 'ybr': '188.09', 'z_order': '0'}]"
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+
11,11.png,11.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '218.06', 'ytl': '159.73', 'xbr': '260.45', 'ybr': '209.15', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '414.52', 'ytl': '219.81', 'xbr': '461.24', 'ybr': '267.61', 'z_order': '0'}]"
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+
12,12.png,12.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '103.30', 'ytl': '205.91', 'xbr': '158.65', 'ybr': '273.95', 'z_order': '0'}]"
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+
13,13.png,13.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '387.31', 'ytl': '158.47', 'xbr': '434.57', 'ybr': '219.45', 'z_order': '0'}]"
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+
14,14.png,14.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '248.41', 'ytl': '337.19', 'xbr': '298.95', 'ybr': '406.53', 'z_order': '0'}]"
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+
15,15.png,15.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '310.62', 'ytl': '152.82', 'xbr': '343.34', 'ybr': '201.75', 'z_order': '0'}]"
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+
16,16.png,16.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '449.49', 'ytl': '383.39', 'xbr': '505.87', 'ybr': '450.66', 'z_order': '0'}]"
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+
17,17.png,17.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '302.91', 'ytl': '389.65', 'xbr': '362.20', 'ybr': '473.89', 'z_order': '0'}]"
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+
18,18.png,18.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '265.70', 'ytl': '188.68', 'xbr': '302.98', 'ybr': '229.45', 'z_order': '0'}, {'label': 'no_helmet', 'occluded': '0', 'source': 'manual', 'xtl': '289.21', 'ytl': '160.06', 'xbr': '325.93', 'ybr': '199.75', 'z_order': '0'}]"
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+
19,19.png,19.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '119.77', 'ytl': '225.62', 'xbr': '171.88', 'ybr': '280.97', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '288.26', 'ytl': '83.86', 'xbr': '333.90', 'ybr': '141.37', 'z_order': '0'}]"
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+
20,20.png,20.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '499.90', 'ytl': '79.40', 'xbr': '520.42', 'ybr': '101.27', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '309.27', 'ytl': '257.07', 'xbr': '335.19', 'ybr': '282.46', 'z_order': '0'}]"
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+
21,21.png,21.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '379.43', 'ytl': '266.51', 'xbr': '425.15', 'ybr': '333.70', 'z_order': '0'}]"
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22,22.png,22.png,"[{'label': 'no_helmet', 'occluded': '0', 'source': 'manual', 'xtl': '351.32', 'ytl': '240.90', 'xbr': '377.81', 'ybr': '285.43', 'z_order': '0'}, {'label': 'no_helmet', 'occluded': '0', 'source': 'manual', 'xtl': '270.72', 'ytl': '273.03', 'xbr': '302.28', 'ybr': '322.07', 'z_order': '0'}]"
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+
23,23.png,23.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '145.40', 'ytl': '219.92', 'xbr': '170.78', 'ybr': '251.78', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '504.25', 'ytl': '249.08', 'xbr': '527.47', 'ybr': '276.10', 'z_order': '0'}]"
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+
24,24.png,24.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '270.26', 'ytl': '96.10', 'xbr': '334.76', 'ybr': '176.73', 'z_order': '0'}]"
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25,25.png,25.png,[]
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26,26.png,26.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '250.76', 'ytl': '231.10', 'xbr': '278.76', 'ybr': '257.40', 'z_order': '0'}]"
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+
27,27.png,27.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '273.25', 'ytl': '207.39', 'xbr': '307.93', 'ybr': '247.67', 'z_order': '0'}]"
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+
28,28.png,28.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '147.91', 'ytl': '0.00', 'xbr': '197.55', 'ybr': '61.47', 'z_order': '0'}]"
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+
29,29.png,29.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '469.82', 'ytl': '218.18', 'xbr': '492.70', 'ybr': '245.55', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '485.14', 'ytl': '235.60', 'xbr': '504.28', 'ybr': '254.35', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '404.16', 'ytl': '244.23', 'xbr': '435.26', 'ybr': '286.62', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '581.12', 'ytl': '484.16', 'xbr': '602.40', 'ybr': '508.40', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '607.55', 'ytl': '144.06', 'xbr': '618.81', 'ybr': '157.97', 'z_order': '0'}, {'label': 'no_helmet', 'occluded': '0', 'source': 'manual', 'xtl': '593.39', 'ytl': '151.95', 'xbr': '602.14', 'ybr': '162.74', 'z_order': '0'}]"
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+
30,30.png,30.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '355.42', 'ytl': '322.41', 'xbr': '374.99', 'ybr': '342.44', 'z_order': '0'}]"
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31,31.png,31.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '272.74', 'ytl': '150.66', 'xbr': '298.39', 'ybr': '182.25', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '175.39', 'ytl': '213.20', 'xbr': '203.21', 'ybr': '245.87', 'z_order': '0'}]"
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+
32,32.png,32.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '329.35', 'ytl': '257.41', 'xbr': '376.01', 'ybr': '310.29', 'z_order': '0'}]"
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33,33.png,33.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '140.69', 'ytl': '346.69', 'xbr': '163.74', 'ybr': '371.04', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '213.87', 'ytl': '340.31', 'xbr': '235.75', 'ybr': '368.57', 'z_order': '0'}]"
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+
34,34.png,34.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '342.54', 'ytl': '289.88', 'xbr': '375.75', 'ybr': '325.52', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '338.00', 'ytl': '313.91', 'xbr': '370.67', 'ybr': '350.37', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '363.87', 'ytl': '223.19', 'xbr': '393.30', 'ybr': '260.18', 'z_order': '0'}]"
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+
35,35.png,35.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '353.61', 'ytl': '215.09', 'xbr': '389.52', 'ybr': '260.45', 'z_order': '0'}]"
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+
36,36.png,36.png,"[{'label': 'no_helmet', 'occluded': '0', 'source': 'manual', 'xtl': '250.28', 'ytl': '234.98', 'xbr': '277.06', 'ybr': '270.76', 'z_order': '0'}]"
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+
37,37.png,37.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '233.45', 'ytl': '174.58', 'xbr': '264.50', 'ybr': '207.26', 'z_order': '0'}]"
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+
38,38.png,38.png,"[{'label': 'no_helmet', 'occluded': '0', 'source': 'manual', 'xtl': '187.05', 'ytl': '145.20', 'xbr': '207.53', 'ybr': '175.57', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '211.28', 'ytl': '141.46', 'xbr': '235.59', 'ybr': '177.24', 'z_order': '0'}, {'label': 'no_helmet', 'occluded': '0', 'source': 'manual', 'xtl': '500.77', 'ytl': '255.05', 'xbr': '531.50', 'ybr': '290.42', 'z_order': '0'}]"
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+
39,39.png,39.png,"[{'label': 'no_helmet', 'occluded': '0', 'source': 'manual', 'xtl': '389.36', 'ytl': '146.01', 'xbr': '423.70', 'ybr': '190.73', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '282.75', 'ytl': '140.18', 'xbr': '325.85', 'ybr': '195.27', 'z_order': '0'}]"
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+
40,40.png,40.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '360.38', 'ytl': '143.80', 'xbr': '373.08', 'ybr': '156.40', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '418.38', 'ytl': '148.99', 'xbr': '430.08', 'ybr': '163.29', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '436.18', 'ytl': '151.49', 'xbr': '447.48', 'ybr': '167.29', 'z_order': '0'}, {'label': 'no_helmet', 'occluded': '0', 'source': 'manual', 'xtl': '560.50', 'ytl': '132.70', 'xbr': '568.20', 'ybr': '140.20', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '593.70', 'ytl': '143.70', 'xbr': '602.60', 'ybr': '155.40', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '446.94', 'ytl': '150.75', 'xbr': '456.24', 'ybr': '161.75', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '453.84', 'ytl': '148.85', 'xbr': '463.34', 'ybr': '160.85', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '370.18', 'ytl': '150.10', 'xbr': '384.08', 'ybr': '164.70', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '377.77', 'ytl': '258.15', 'xbr': '405.45', 'ybr': '295.28', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '327.46', 'ytl': '252.30', 'xbr': '359.64', 'ybr': '288.31', 'z_order': '0'}]"
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+
41,41.png,41.png,"[{'label': 'no_helmet', 'occluded': '0', 'source': 'manual', 'xtl': '307.16', 'ytl': '207.74', 'xbr': '338.76', 'ybr': '242.57', 'z_order': '-2'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '301.22', 'ytl': '215.36', 'xbr': '332.82', 'ybr': '254.51', 'z_order': '0'}]"
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+
42,42.png,42.png,"[{'label': 'no_helmet', 'occluded': '0', 'source': 'manual', 'xtl': '287.25', 'ytl': '249.69', 'xbr': '309.08', 'ybr': '276.47', 'z_order': '0'}]"
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+
43,43.png,43.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '241.52', 'ytl': '170.33', 'xbr': '259.42', 'ybr': '191.49', 'z_order': '0'}]"
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44,44.png,44.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '540.32', 'ytl': '88.13', 'xbr': '554.52', 'ybr': '101.13', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '256.32', 'ytl': '412.84', 'xbr': '273.26', 'ybr': '430.96', 'z_order': '0'}]"
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+
45,45.png,45.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '279.93', 'ytl': '230.56', 'xbr': '301.42', 'ybr': '252.69', 'z_order': '0'}]"
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data/images.tar.gz
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:8e52ff4b39e9aacf0020634c5de14ddd163646121a1fdd13cbbba17a73c2e469
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size 31108565
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data/masks.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:2b51dccb1d4a4730531b06d4a8f3b56b92a73633c2aec05a0324620e4c128b77
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size 25463066
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face_segmentation.py
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import datasets
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import pandas as pd
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_CITATION = """\
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@InProceedings{huggingface:dataset,
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title = {face_segmentation},
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author = {TrainingDataPro},
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year = {2023}
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}
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"""
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_DESCRIPTION = """\
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An example of a dataset that we've collected for a photo edit App.
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The dataset includes 20 selfies of people (man and women)
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in segmentation masks and their visualisations.
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"""
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17 |
+
_NAME = 'face_segmentation'
|
18 |
+
|
19 |
+
_HOMEPAGE = f"https://huggingface.co/datasets/TrainingDataPro/{_NAME}"
|
20 |
+
|
21 |
+
_LICENSE = ""
|
22 |
+
|
23 |
+
_DATA = f"https://huggingface.co/datasets/TrainingDataPro/{_NAME}/resolve/main/data/"
|
24 |
+
|
25 |
+
|
26 |
+
class FaceSegmentation(datasets.GeneratorBasedBuilder):
|
27 |
+
"""Small sample of image-text pairs"""
|
28 |
+
|
29 |
+
def _info(self):
|
30 |
+
return datasets.DatasetInfo(
|
31 |
+
description=_DESCRIPTION,
|
32 |
+
features=datasets.Features({
|
33 |
+
'image': datasets.Image(),
|
34 |
+
'mask': datasets.Image(),
|
35 |
+
'id': datasets.Value('string'),
|
36 |
+
'gender': datasets.Value('string'),
|
37 |
+
'age': datasets.Value('int8')
|
38 |
+
}),
|
39 |
+
supervised_keys=None,
|
40 |
+
homepage=_HOMEPAGE,
|
41 |
+
citation=_CITATION,
|
42 |
+
)
|
43 |
+
|
44 |
+
def _split_generators(self, dl_manager):
|
45 |
+
images = dl_manager.download(f"{_DATA}images.tar.gz")
|
46 |
+
masks = dl_manager.download(f"{_DATA}masks.tar.gz")
|
47 |
+
annotations = dl_manager.download(f"{_DATA}{_NAME}.csv")
|
48 |
+
images = dl_manager.iter_archive(images)
|
49 |
+
masks = dl_manager.iter_archive(masks)
|
50 |
+
return [
|
51 |
+
datasets.SplitGenerator(name=datasets.Split.TRAIN,
|
52 |
+
gen_kwargs={
|
53 |
+
"images": images,
|
54 |
+
'masks': masks,
|
55 |
+
'annotations': annotations
|
56 |
+
}),
|
57 |
+
]
|
58 |
+
|
59 |
+
def _generate_examples(self, images, masks, annotations):
|
60 |
+
annotations_df = pd.read_csv(annotations, sep=';')
|
61 |
+
|
62 |
+
for idx, ((image_path, image),
|
63 |
+
(mask_path, mask)) in enumerate(zip(images, masks)):
|
64 |
+
yield idx, {
|
65 |
+
"image": {
|
66 |
+
"path": image_path,
|
67 |
+
"bytes": image.read()
|
68 |
+
},
|
69 |
+
"mask": {
|
70 |
+
"path": mask_path,
|
71 |
+
"bytes": mask.read()
|
72 |
+
},
|
73 |
+
'id': annotations_df['id'].iloc[idx],
|
74 |
+
'gender': annotations_df['gender'].iloc[idx],
|
75 |
+
'age': annotations_df['age'].iloc[idx]
|
76 |
+
}
|