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README.md
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language:
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- en
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tags:
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dataset_info:
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features:
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- name: image_id
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num_examples: 41
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download_size: 45336774
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dataset_size: 52028802
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---
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# People Tracking & Object Detection dataset
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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).
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# 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[
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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.
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.png?generation=1687776281548084&alt=media)
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# 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[
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More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
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TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**
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*keywords: multiple people tracking, human detection dataset, object detection dataset, people tracking dataset, tracking human object interactions, human Identification tracking dataset, people detection annotations, detecting human in a crowd, human trafficking dataset, deep learning object tracking, multi-object tracking dataset, labeled web tracking dataset, large-scale object tracking dataset*
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language:
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- en
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tags:
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- people
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- Object Detection
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- multiple people tracking
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- human detection
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dataset_info:
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features:
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- name: image_id
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num_examples: 41
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download_size: 45336774
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dataset_size: 52028802
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size_categories:
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- 1K<n<10K
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---
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# People Tracking & Object Detection dataset
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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).
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# 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[our website](https://unidata.pro/datasets/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=people-tracking-dataset)** to buy the dataset
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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.
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.png?generation=1687776281548084&alt=media)
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# 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[our website](https://unidata.pro/datasets/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=people-tracking-dataset)** to discuss your requirements, learn about the price and buy the dataset
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Leave a request on [our website](https://unidata.pro/datasets/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=people-tracking-dataset) to discuss your requirements, learn about the price and buy the dataset.
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## [Our Team](https://unidata.pro/datasets/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=people-tracking-dataset) provides high-quality data annotation tailored to your needs
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*keywords: multiple people tracking, human detection dataset, object detection dataset, people tracking dataset, tracking human object interactions, human Identification tracking dataset, people detection annotations, detecting human in a crowd, human trafficking dataset, deep learning object tracking, multi-object tracking dataset, labeled web tracking dataset, large-scale object tracking dataset*
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