Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

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

[ICCV 2023] Tracking Anything with Decoupled Video Segmentation

[CVPR2024 Highlight]GLEE: General Object Foundation Model for Images and Videos at Scale

Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]

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

Combining Segment Anything (SAM) with Grounded DINO for zero-shot object detection and CLIPSeg for zero-shot segmentation

Official implementation of OV-DINO: Unified Open-Vocabulary Detection with Language-Aware Selective Fusion

[NeurIPS 2023] Weakly Supervised 3D Open-vocabulary Segmentation

Official code of "Segment any 3D Object with Language"

(ECCV 2024) Open-Vocabulary Camouflaged Object Segmentation

Open-vocabulary Video Instance Segmentation Codebase built upon Detectron2, which is really easy to use.

Open-Vocabulary Panoptic Segmentation

Official repository of the paper "Talking to DINO: Bridging Self-Supervised Vision Backbones with Language for Open-Vocabulary Segmentation"

[ICCVW23] VinAI-3DIS Metadata repo of OpenSUN3D

grounded-segment-anything with ZED SDK