Training Data
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README.md
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download_size: 148412090
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dataset_size: 14126
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# Dogs Video Object Tracking Dataset
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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.
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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.
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# Get the dataset
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### This is just an example of the data
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Leave a request on [**https://trainingdata.pro/data-market**](https://trainingdata.pro/data-market/object-tracking?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.
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# Dataset structure
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The dataset consists of 3 folders with frames from the video with dogs on the streets.
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Each folder includes:
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- **.csv file**: file with id and path of each frame in the "images" folder,
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- **annotations.xml**: contains coordinates of the bounding boxes, created for the original frames
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# Data Format
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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.
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# Object tracking might be made in accordance with your requirements.
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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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download_size: 148412090
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dataset_size: 14126
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# Dogs Video - Object Detection Dataset
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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.
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# 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[TrainingData](https://trainingdata.pro/datasets/object-tracking?utm_source=huggingface&utm_medium=cpc&utm_campaign=dogs-video-object-tracking-dataset)** to buy the dataset
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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.
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# Dataset structure
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The dataset consists of 3 folders with frames from the video with dogs on the streets.
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Each folder includes:
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- **.csv file**: file with id and path of each frame in the "images" folder,
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- **annotations.xml**: contains coordinates of the bounding boxes, created for the original frames
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# 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[https://trainingdata.pro/datasets](https://trainingdata.pro/datasets/object-tracking?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
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# Data Format
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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.
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# Object tracking might be made in accordance with your requirements.
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# **[TrainingData](https://trainingdata.pro/datasets/object-tracking?utm_source=huggingface&utm_medium=cpc&utm_campaign=dogs-video-object-tracking-dataset)** provides high-quality data annotation tailored to your needs
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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: 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*
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