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Pigs Object Detection dataset
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.
💴 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 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.
Dataset structure
- images - contains of original images of pigs
- boxes - includes bounding box labeling for the original images
- annotations.xml - contains coordinates of the bounding boxes and labels, created for the original photo
Data Format
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.
Pig Detection might be made in accordance with your requirements.
💴 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
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: farm animal, animal recognition, farm animal detection, image-based recognition, farmers, “on-farm” data, pig detection, pig images dataset, object detection, deep learning, computer vision, animal contacts, images dataset, agriculture, multiple animal pose estimation, feeding behavior, farming, bounding boxes
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