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 .txt files. Annotation Format Each label file contains annotations in the following format: Classes: 0 : Cat 1 : Dog How to Use with Ultralytics To use this dataset with the ultralytics library, create a data.yaml file pointing to this directory: 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.
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy