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]

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

Grounded Tracking for Streaming Videos

A Rust library integrated with ONNXRuntime, providing a collection of Computer Vison and Vision-Language models.

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

SegMate: A Segmentation Toolkit

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

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

Grounding DINO module for use with Autodistill.

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.

[ArXiv2024] ModPrompt: Visual Modality Prompt for Adapting Vision-Language Object Detectors

AI Image Cutout Maker is a project that uses artificial intelligence to automatically create cutouts from images. This project is designed to simplify the process of creating cutouts, which can be a time-consuming task if done manually. This project utilizes the power of Segment Anything and Grounding Dino AI models to detect subjects in an image

Dashboard for Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

A project to combine Grounding-DINO with Meta AI's Segment Anything Model (SAM) and Stable Diffusion for image manipulation using prompts. The plan is to integrate these techniques and deploy the model on Hugging Face with a Gradio interface for users to detect, segment regions and inpaint them in images.

Synthetic dataset generation with Stable Diffusion and generating of segmentation mask using Grounding DINO and Segment Anythin Model