

# People Tracking Dataset
The dataset comprises of annotated video frames from positioned in a public space camera. The tracking of each individual in the camera's view has been achieved using the rectangle tool in the Computer Vision Annotation Tool (CVAT).

# 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=people-tracking-dataset) 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%2F84c336f18be349df708f8c788e71ca70%2Fframe_000024.png?generation=1687775237258891&alt=media)
# Dataset Structure 
- The `images` directory houses the original video frames, serving as the primary source of raw data. 
- The `annotations.xml` file provides the detailed annotation data for the images. 
- The `boxes` directory contains frames that visually represent the bounding box annotations, showing the locations of the tracked individuals within each frame. These images can be used to understand how the tracking has been implemented and to visualize the marked areas for each individual.

# Data Format 
The annotations are represented as rectangle bounding boxes that are placed around each individual. Each bounding box annotation contains the position ( `xtl`-`ytl`-`xbr`-`ybr` coordinates ) for the respective box within the frame.
![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F4f274551e10db2754c4d8a16dff97b33%2Fcarbon%20(10).png?generation=1687776281548084&alt=media)

## [TrainingData](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=people-tracking-dataset) 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-segmentation task_categories:image-classification language:en license:cc-by-nc-nd-4.0 legal code region:us
{"language": ["en"], "license": "cc-by-nc-nd-4.0", "task_categories": ["image-segmentation", "image-classification"], "tags": ["legal", "code"], "dataset_info": {"features": [{"name": "image_id", "dtype": "int32"}, {"name": "image", "dtype": "image"}, {"name": "mask", "dtype": "image"}, {"name": "annotations", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 52028802, "num_examples": 41}], "download_size": 45336774, "dataset_size": 52028802}}
TAGS
#task_categories-image-segmentation #task_categories-image-classification #language-English #license-cc-by-nc-nd-4.0 #legal #code #region-us 



# People Tracking Dataset
The dataset comprises of annotated video frames from positioned in a public space camera. The tracking of each individual in the camera's view has been achieved using the rectangle tool in the Computer Vision Annotation Tool (CVAT).

# 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 
- The 'images' directory houses the original video frames, serving as the primary source of raw data. 
- The 'URL' file provides the detailed annotation data for the images. 
- The 'boxes' directory contains frames that visually represent the bounding box annotations, showing the locations of the tracked individuals within each frame. These images can be used to understand how the tracking has been implemented and to visualize the marked areas for each individual.

# Data Format 
The annotations are represented as rectangle bounding boxes that are placed around each individual. Each bounding box annotation contains the position ( 'xtl'-'ytl'-'xbr'-'ybr' coordinates ) for the respective box within the frame.
![](URL

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

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL
# People Tracking Dataset
The dataset comprises of annotated video frames from positioned in a public space camera. The tracking of each individual in the camera's view has been achieved using the rectangle tool in the Computer Vision Annotation Tool (CVAT). # 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 
- The 'images' directory houses the original video frames, serving as the primary source of raw data. 
- The 'URL' file provides the detailed annotation data for the images. 
- The 'boxes' directory contains frames that visually represent the bounding box annotations, showing the locations of the tracked individuals within each frame. These images can be used to understand how the tracking has been implemented and to visualize the marked areas for each individual. # Data Format 
The annotations are represented as rectangle bounding boxes that are placed around each individual. Each bounding box annotation contains the position ( 'xtl'-'ytl'-'xbr'-'ybr' coordinates ) for the respective box within the frame.
![](URL ## 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-segmentation #task_categories-image-classification #language-English #license-cc-by-nc-nd-4.0 #legal #code #region-us 
 # People Tracking Dataset
The dataset comprises of annotated video frames from positioned in a public space camera. The tracking of each individual in the camera's view has been achieved using the rectangle tool in the Computer Vision Annotation Tool (CVAT). # 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 
- The 'images' directory houses the original video frames, serving as the primary source of raw data. 
- The 'URL' file provides the detailed annotation data for the images. 
- The 'boxes' directory contains frames that visually represent the bounding box annotations, showing the locations of the tracked individuals within each frame. These images can be used to understand how the tracking has been implemented and to visualize the marked areas for each individual. # Data Format 
The annotations are represented as rectangle bounding boxes that are placed around each individual. Each bounding box annotation contains the position ( 'xtl'-'ytl'-'xbr'-'ybr' coordinates ) for the respective box within the frame.
![](URL ## TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL
passage: TAGS
#task_categories-image-segmentation #task_categories-image-classification #language-English #license-cc-by-nc-nd-4.0 #legal #code #region-us 
# People Tracking Dataset
The dataset comprises of annotated video frames from positioned in a public space camera. The tracking of each individual in the camera's view has been achieved using the rectangle tool in the Computer Vision Annotation Tool (CVAT).# 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 
- The 'images' directory houses the original video frames, serving as the primary source of raw data. 
- The 'URL' file provides the detailed annotation data for the images. 
- The 'boxes' directory contains frames that visually represent the bounding box annotations, showing the locations of the tracked individuals within each frame. These images can be used to understand how the tracking has been implemented and to visualize the marked areas for each individual.# Data Format 
The annotations are represented as rectangle bounding boxes that are placed around each individual. Each bounding box annotation contains the position ( 'xtl'-'ytl'-'xbr'-'ybr' coordinates ) for the respective box within the frame.
![](URL## TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL