#Open-vocabulary-detection
Showing 9 of 9 repositories tagged #open-vocabulary-detection, ranked by stars
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API 🔥
👁️ + 💬 + 🎧 = 🤖 Curated list of top foundation and multimodal models! [Paper + Code + Examples + Tutorials]
Sleek, mobile-friendly web UI for NVIDIA LocateAnything-3B — open-vocabulary object detection & grounding on your own GPU, via one docker compose up.
使用onnxruntime部署GroundingDINO开放世界目标检测，包含C++和Python两个版本的程序
[WACV 2025] Official code for our paper "Enhancing Novel Object Detection via Cooperative Foundational Models"
[CVPR 2024 Highlight] Official repository of the paper "The devil is in the fine-grained details: Evaluating open-vocabulary object detectors for fine-grained understanding."
Python scripts performing Open Vocabulary Object Detection using the YOLO-World model in ONNX.