Cat and Dog Detection Dataset in YOLO Format

A dataset for training and evaluating object detection models to identify cats and dogs in images. It is structured in the standard YOLO format with separate directories for images and bounding box annotations. The dataset was created by sankalpa1998 and last updated on 2026-04-08.

Use Cases

• Training object detection models based on the described YOLO format annotations.
• Evaluating model performance on pet detection tasks based on the cat and dog labels.
• Fine-tuning pre-trained YOLO models for specific pet recognition applications.

Strengths

• Designed specifically for YOLOv8, YOLOv10, and YOLO11 model training.
• Follows the standard YOLO object detection format with separate image and label directories.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

huggingface

Freshness

Last updated 2026-04-08 11:06:00; freshness should be verified.