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  license: cc-by-nc-nd-4.0
 
 
 
 
 
 
 
 
 
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  license: cc-by-nc-nd-4.0
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+ task_categories:
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+ - image-to-image
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+ - image-classification
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+ - object-detection
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+ language:
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+ - en
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+ tags:
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+ - biology
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+ - code
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  ---
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+
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+ # Cows Detection Dataset
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+ The dataset is a collection of images along with corresponding bounding box annotations that are specifically curated for **detecting cows** in images. The dataset covers different *cows breeds, sizes, and orientations*, providing a comprehensive representation of cows appearances and positions. Additionally, the visibility of each cow is presented in the .xml file.
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+ The cow detection dataset provides a valuable resource for researchers working on detection tasks. It offers a diverse collection of annotated images, allowing for comprehensive algorithm development, evaluation, and benchmarking, ultimately aiding in the development of accurate and robust models.
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+ ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Fc1495731b6dff54b97ba132fc8d36fd9%2FMacBook%20Air%20-%201.png?generation=1692031830924617&alt=media)
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+
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+ # Get the Dataset
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+
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+ ### This is just an example of the data
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+
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+ 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)** to discuss your requirements, learn about the price and buy the dataset
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+
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+ # Dataset structure
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+ - **images** - contains of original images of cows
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+ - **boxes** - includes bounding box labeling for the original images
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+ - **annotations.xml** - contains coordinates of the bounding boxes and labels, created for the original photo
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+
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+ # Data Format
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+ Each image from `images` folder is accompanied by an XML-annotation in the `annotations.xml` file indicating the coordinates of the bounding boxes for cows detection. For each point, the x and y coordinates are provided. Visibility of the cow is also provided by the label **is_visible** (true, false).
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+
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+ # Example of XML file structure
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+ ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F7a0f0bd6a019e945074361896d27ee90%2Fcarbon%20(1).png?generation=1692032268744062&alt=media)
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+ # Cows Detection might be made in accordance with your requirements.
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+ ## **[TrainingData](https://trainingdata.pro/data-market?utm_source=huggingface)** 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**