Awesome Object Detection: Curated Resources for YOLO and Remote Sensing

This curated repository by coderonion provides a collection of public object detection and recognition datasets as of January 2025. It aggregates resources across specialized domains including thermal imaging, aerial imagery, and synthetic aperture radar (SAR) for computer vision tasks.

Use Cases

• Training YOLOv10 models using the specific aerial imagery and SAR datasets listed
• Developing autonomous driving perception systems using the linked vehicle-centric datasets
• Benchmarking infrared object recognition algorithms using the thermal imaging collection

Strengths

• Includes specialized tags for YOLOv5, YOLOv8, and YOLOv10 compatibility
• Covers niche domains such as SAR and thermal imaging
• Updated as of early 2025

Limitations

• Meta-repository structure means data quality and availability depend on third-party external links
• Lack of a unified license across all listed resources
• No direct download for the data itself within the repository

Provenance

Source

coderonion via GitHub

Collection Method

Curated list of public datasets

Freshness

Last updated January 2025.

Geography

Global