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 Detection 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.

💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on TrainingData to buy the dataset

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.

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

💴 Buy the Dataset: This is just an example of the data. Leave a request on https://trainingdata.pro/datasets to discuss your requirements, learn about the price and buy the dataset

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

keywords: object movements, dogs behavoir, pets object detection, motion tracking, domestic dogs, stray dogs, object detection, multiple-object tracking, image dataset, labeled web tracking dataset, computer vision, machine learning, cctv, camera detection, surveillance, security camera, security camera object detection, video-based monitoring, smart city, smart city development, smart city vision, smart city deep learning, smart city management, classification, image recognition