language:
- en
license: cc-by-nc-nd-4.0
task_categories:
- image-to-image
- image-classification
- object-detection
tags:
- biology
- 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: 184108240
num_examples: 51
download_size: 183666433
dataset_size: 184108240
Cows Detection Dataset
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.
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.
Get the Dataset
This is just an example of the data
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Dataset structure
- images - contains of original images of cows
- 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 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).
Example of XML file structure
Cows 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