
# 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**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=helmet_detection) to discuss your requirements, learn about the price and buy the dataset.


![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Fc7a46d2407e8aa245f107524fcaecff5%2Fhelmets.png?generation=1686295342860797&alt=media)

# 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
![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Fce2115cd583ab7bc4e1d3d2749b4d7ad%2Fcarbon%20(7).png?generation=1686295970420156&alt=media)

# Helmet Detection might be made in accordance with your requirements.

## [**TrainingData**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=helmet_detection) provides high-quality data annotation tailored to your needs

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

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

task_categories:image-classification language:en license:cc-by-nc-nd-4.0 code region:us
{"language": ["en"], "license": "cc-by-nc-nd-4.0", "task_categories": ["image-classification"], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "mask", "dtype": "image"}, {"name": "bboxes", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 56575701, "num_examples": 46}], "download_size": 56584366, "dataset_size": 56575701}, "tags": ["code"]}
TAGS
#task_categories-image-classification #language-English #license-cc-by-nc-nd-4.0 #code #region-us 


# 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 URL to discuss your requirements, learn about the price and buy the dataset.


![](URL

# Dataset structure
- img - contains of original images of construction workers
- boxes - includes bounding box labeling for the original images
-  URL -  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 'URL' 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
![](URL

# Helmet Detection might be made in accordance with your requirements.

## TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL

# 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 URL to discuss your requirements, learn about the price and buy the dataset.


![](URL # Dataset structure
- img - contains of original images of construction workers
- boxes - includes bounding box labeling for the original images
-  URL -  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 'URL' 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
![](URL # Helmet Detection might be made in accordance with your requirements. ## TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL
TAGS
#task_categories-image-classification #language-English #license-cc-by-nc-nd-4.0 #code #region-us 
 # 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 URL to discuss your requirements, learn about the price and buy the dataset.


![](URL # Dataset structure
- img - contains of original images of construction workers
- boxes - includes bounding box labeling for the original images
-  URL -  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 'URL' 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
![](URL # Helmet Detection might be made in accordance with your requirements. ## TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL