| license: cc-by-nc-nd-4.0 | |
| task_categories: | |
| - image-segmentation | |
| - image-classification | |
| language: | |
| - en | |
| 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 | |
| # 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. If you need access to the entire dataset, contact us via **[sales@trainingdata.pro](mailto:sales@trainingdata.pro)** or leave a request on **[https://trainingdata.pro/data-market](https://trainingdata.pro/data-market?utm_source=huggingface)** | |
|  | |
| # 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. | |
| .png?generation=1687776281548084&alt=media) | |
| ## **[TrainingData](https://trainingdata.pro/data-market?utm_source=huggingface)** 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-pro** |