id
int32
0
45
image
image
mask
image
bboxes
string
0
"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '812.33', 'ytl': '939.39', 'xbr': '849.61', 'ybr': '988.62', 'z_order': '0'}]"
1
"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '315.52', 'ytl': '179.14', 'xbr': '348.79', 'ybr': '230.03', 'z_order': '0'}]"
2
"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '171.21', 'ytl': '139.41', 'xbr': '207.73', 'ybr': '195.56', 'z_order': '0'}]"
3
"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '167.14', 'ytl': '7.79', 'xbr': '245.10', 'ybr': '134.40', 'z_order': '0'}]"
4
"[{'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'}]"
5
"[{'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'}]"
6
"[{'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'}]"
7
"[{'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'}]"
8
"[{'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'}]"
9
"[{'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'}]"
10
"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '316.34', 'ytl': '141.37', 'xbr': '351.45', 'ybr': '188.09', 'z_order': '0'}]"
11
"[{'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'}]"
12
"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '103.30', 'ytl': '205.91', 'xbr': '158.65', 'ybr': '273.95', 'z_order': '0'}]"
13
"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '387.31', 'ytl': '158.47', 'xbr': '434.57', 'ybr': '219.45', 'z_order': '0'}]"
14
"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '248.41', 'ytl': '337.19', 'xbr': '298.95', 'ybr': '406.53', 'z_order': '0'}]"
15
"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '310.62', 'ytl': '152.82', 'xbr': '343.34', 'ybr': '201.75', 'z_order': '0'}]"
16
"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '449.49', 'ytl': '383.39', 'xbr': '505.87', 'ybr': '450.66', 'z_order': '0'}]"
17
"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '302.91', 'ytl': '389.65', 'xbr': '362.20', 'ybr': '473.89', 'z_order': '0'}]"
18
"[{'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'}]"
19
"[{'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'}]"
20
"[{'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'}]"
21
"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '379.43', 'ytl': '266.51', 'xbr': '425.15', 'ybr': '333.70', 'z_order': '0'}]"
22
"[{'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'}]"
23
"[{'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'}]"
24
"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '270.26', 'ytl': '96.10', 'xbr': '334.76', 'ybr': '176.73', 'z_order': '0'}]"
25
"[]"
26
"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '250.76', 'ytl': '231.10', 'xbr': '278.76', 'ybr': '257.40', 'z_order': '0'}]"
27
"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '273.25', 'ytl': '207.39', 'xbr': '307.93', 'ybr': '247.67', 'z_order': '0'}]"
28
"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '147.91', 'ytl': '0.00', 'xbr': '197.55', 'ybr': '61.47', 'z_order': '0'}]"
29
"[{'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'}]"
30
"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '355.42', 'ytl': '322.41', 'xbr': '374.99', 'ybr': '342.44', 'z_order': '0'}]"
31
"[{'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'}]"
32
"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '329.35', 'ytl': '257.41', 'xbr': '376.01', 'ybr': '310.29', 'z_order': '0'}]"
33
"[{'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'}]"
34
"[{'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'}]"
35
"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '353.61', 'ytl': '215.09', 'xbr': '389.52', 'ybr': '260.45', 'z_order': '0'}]"
36
"[{'label': 'no_helmet', 'occluded': '0', 'source': 'manual', 'xtl': '250.28', 'ytl': '234.98', 'xbr': '277.06', 'ybr': '270.76', 'z_order': '0'}]"
37
"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '233.45', 'ytl': '174.58', 'xbr': '264.50', 'ybr': '207.26', 'z_order': '0'}]"
38
"[{'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'}]"
39
"[{'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'}]"
40
"[{'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'}]"
41
"[{'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'}]"
42
"[{'label': 'no_helmet', 'occluded': '0', 'source': 'manual', 'xtl': '287.25', 'ytl': '249.69', 'xbr': '309.08', 'ybr': '276.47', 'z_order': '0'}]"
43
"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '241.52', 'ytl': '170.33', 'xbr': '259.42', 'ybr': '191.49', 'z_order': '0'}]"
44
"[{'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'}]"
45
"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '279.93', 'ytl': '230.56', 'xbr': '301.42', 'ybr': '252.69', 'z_order': '0'}]"

Helmet Detection Dataset

The dataset consist of photographs of construction workers during the work. The dataset provides helmet detection using bounding boxes, and addresses public safety tasks such as providing compliance with safety regulations, authomizing the processes of identification of rules violations and reducing accidents during the construction work.

Get the dataset

This is just an example of the data

Leave a request on https://trainingdata.pro/data-market to discuss your requirements, learn about the price and buy the dataset.

Dataset structure

  • img - contains of original images of construction workers
  • boxes - includes bounding box labeling for the original images
  • annotations.xml - contains coordinates of the bounding boxes and labels (helmet, no_helmet), created for the original photo

Data Format

Each image from img folder is accompanied by an XML-annotation in the annotations.xml file indicating the coordinates of the bounding boxes and labels for helmet detection. For each point, the x and y coordinates are provided.

Example of XML file structure

Helmet Detection might be made in accordance with your requirements.

**TrainingData**

More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets

TrainingData's GitHub: https://github.com/Trainingdata-datamarket/TrainingData_All_datasets

Downloads last month
6
Edit dataset card
Evaluate models HF Leaderboard