Raessan/object_detection_dinov3
Lightweight head for object detection using DINOv3 as backbone
This project helps robotics engineers and perception system developers integrate real-time object detection into their ROS 2 applications. It takes raw image data, processes it using a specialized detection head on top of DINOv3 features, and outputs bounding box predictions for objects within the image. This allows for efficient and accurate object recognition in live robotic environments.
Use this if you need a lightweight and efficient object detection solution that can be integrated into a ROS 2 system, leveraging existing DINOv3 backbone features for real-time performance.
Not ideal if you are looking for a standalone, state-of-the-art object detection model that does not specifically target integration with DINOv3 or ROS 2.
Stars
11
Forks
1
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 03, 2026
Commits (30d)
0
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