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---
language:
- en
license: cc-by-nc-nd-4.0
task_categories:
- image-to-image
- object-detection
tags:
- code
- biology
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dtype:
class_label:
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'0': dog
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dtype: string
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---
# 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**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=dogs-video-object-tracking-dataset) 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
.png?generation=1695994709378514&alt=media)
# Object tracking might be made in accordance with your requirements.
## **[TrainingData](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=dogs-video-object-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** |