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Cat and Dog Detection Dataset (YOLO Format)
This dataset is designed for training and evaluating object detection models, specifically YOLOv8, YOLOv10, or YOLO11, to identify cats and dogs in images.
Dataset Structure
The dataset follows the standard YOLO object detection format:
- images/: Contains the raw images (
.jpg,.png). - labels/: Contains the corresponding bounding box annotations in
.txtfiles.
Annotation Format
Each label file contains annotations in the following format:
<class_id> <x_center> <y_center> <width> <height>
Classes:
0: Cat1: Dog
How to Use with Ultralytics
To use this dataset with the ultralytics library, create a data.yaml file pointing to this directory:
path: ./dataset
train: images
val: images
names:
0: dog
1: cat
Dataset Summary
- Total Images: 938
- Categories: Cat, Dog
- Format: YOLOv8 Text Format
- Purpose: Educational / Small-scale testing
Maintenance
Developed and maintained by L.C. Sankalpa Lokuliyanage.
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