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--- |
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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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- code |
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--- |
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# Pigs 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 pigs' heads** in images. The dataset covers different *pig breeds, sizes, and orientations*, providing a comprehensive representation of pig appearances. |
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The pig detection dataset provides a valuable resource for researchers working on pig 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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# Get the Dataset |
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### This is just an example of the data |
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Contact us via **[[email protected]](mailto:[email protected])** 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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# Dataset structure |
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- **images** - contains of original images of pigs |
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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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# 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 pigs detection. For each point, the x and y coordinates are provided. |
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# Example of XML file structure |
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# Pig 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** |
