language:
- en
license: cc-by-nc-nd-4.0
task_categories:
- image-to-image
- image-classification
- object-detection
tags:
- code
dataset_info:
features:
- name: id
dtype: int32
- name: image
dtype: image
- name: mask
dtype: image
- name: bboxes
dtype: string
splits:
- name: train
num_bytes: 5428811
num_examples: 27
download_size: 5391503
dataset_size: 5428811
Pigs 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.
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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This is just an example of the data
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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.
Example of XML file structure
Pig Detection might be made in accordance with your requirements.
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