README.md

metadata

language:
  - en
license: cc-by-nc-nd-4.0
task_categories:
  - image-to-image
  - object-detection
tags:
  - code
  - biology
dataset_info:
  - config_name: video_01
    features:
      - name: id
        dtype: int32
      - name: name
        dtype: string
      - name: image
        dtype: image
      - name: mask
        dtype: image
      - name: shapes
        sequence:
          - name: track_id
            dtype: uint32
          - name: label
            dtype:
              class_label:
                names:
                  '0': dog
          - name: type
            dtype: string
          - name: points
            sequence:
              sequence: float32
          - name: rotation
            dtype: float32
          - name: occluded
            dtype: uint8
          - name: attributes
            sequence:
              - name: name
                dtype: string
              - name: text
                dtype: string
    splits:
      - name: train
        num_bytes: 14990
        num_examples: 52
    download_size: 313328015
    dataset_size: 14990
  - config_name: video_02
    features:
      - name: id
        dtype: int32
      - name: name
        dtype: string
      - name: image
        dtype: image
      - name: mask
        dtype: image
      - name: shapes
        sequence:
          - name: track_id
            dtype: uint32
          - name: label
            dtype:
              class_label:
                names:
                  '0': dog
          - name: type
            dtype: string
          - name: points
            sequence:
              sequence: float32
          - name: rotation
            dtype: float32
          - name: occluded
            dtype: uint8
          - name: attributes
            sequence:
              - name: name
                dtype: string
              - name: text
                dtype: string
    splits:
      - name: train
        num_bytes: 19600
        num_examples: 58
    download_size: 67354761
    dataset_size: 19600
  - config_name: video_03
    features:
      - name: id
        dtype: int32
      - name: name
        dtype: string
      - name: image
        dtype: image
      - name: mask
        dtype: image
      - name: shapes
        sequence:
          - name: track_id
            dtype: uint32
          - name: label
            dtype:
              class_label:
                names:
                  '0': dog
          - name: type
            dtype: string
          - name: points
            sequence:
              sequence: float32
          - name: rotation
            dtype: float32
          - name: occluded
            dtype: uint8
          - name: attributes
            sequence:
              - name: name
                dtype: string
              - name: text
                dtype: string
    splits:
      - name: train
        num_bytes: 14126
        num_examples: 49
    download_size: 148412090
    dataset_size: 14126

Dogs Video Object Tracking Dataset

The dataset contains frames extracted from videos with dogs on the streets. Each frame is accompanied by bounding box that specifically tracks the dog in the image.

The dataset provides a valuable resource for advancing computer vision tasks, enabling the development of more accurate and effective solutions for monitoring and understanding dog behavior in urban settings.

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

The dataset consists of 3 folders with frames from the video with dogs on the streets. Each folder includes:

• images: folder with original frames from the video,
• boxes: visualized data labeling for the images in the previous folder,
• .csv file: file with id and path of each frame in the "images" folder,
• annotations.xml: contains coordinates of the bounding boxes, created for the original frames

Data Format

Each frame from images folder is accompanied by an XML-annotation in the annotations.xml file indicating the coordinates of the bounding boxes for dogs tracking. For each point, the x and y coordinates are provided.

Example of the XML-file

Object tracking 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: https://www.kaggle.com/trainingdatapro/datasets

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