OpenMMLab Detection Toolbox and Benchmark

Images to inference with no labeling (use foundation models to train supervised models).

Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API 🔥

Grounding DINO 1.5: IDEA Research's Most Capable Open-World Object Detection Model Series

👁️ + 💬 + 🎧 = 🤖 Curated list of top foundation and multimodal models! [Paper + Code + Examples + Tutorials]

VisioFirm: Cross-Platform AI-assisted Annotation Tool for Computer Vision

A tab for sd-webui for replacing objects in pictures or videos using detection prompt

Securade.ai HUB - A generative AI based edge platform for computer vision that connects to existing CCTV cameras and makes them smart.

A Rust library integrated with ONNXRuntime, providing a collection of Computer Vison and Vision-Language models such as YOLO, FastVLM, and more.

Grounded Tracking for Streaming Videos

GroundedSAM Base Model plugin for Autodistill

Low-latency ONNX and TensorRT based zero-shot classification and detection with contrastive language-image pre-training based prompts

The Drowsiness Detection System uses YOLOv8 models to monitor drowsiness in real-time by detecting eye states and yawning. Built with Python and leveraging the GroundingDINO library for bounding box generation, this project offers real-time alerts through a PyQt5 interface.

SegMate: A Segmentation Toolkit

Grounding DINO module for use with Autodistill.

Generative AI based image editing/inpainting made super easy to work with.

[ICCV2025] ModPrompt: Visual Modality Prompt for Adapting Vision-Language Object Detectors

A simple demo for utilizing grounding dino and segment anything v2 models together

Explore the cutting edge of computer vision with this comprehensive repository, showcasing a spectrum from classical machine learning to state-of-the-art transformer models.

A Simple, Lightweight, and Extensible Serving Framework for X-AnyLabeling