A curated list of tools using and applications of Grounding DINO.

Automatic data labeling tool, with flexible search patterns, using the power of GroundingDINO (detect anything with language).

A minimalistic webapp to perform zero shot object detection based on textual prompts using GroundingDINO

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.

Pranav's code contribution during his internship at ARL-W. Includes gaze-based object detection GUI and screen tracking script.

This is the front-end webpage for the AI image cutout generator, the BE for this repo can be found here: https://github.com/OriginalByteMe/AI_Image_cutout_maker

An intuitive Python tool for annotating images with bounding boxes. Easily assign custom classes to objects and save annotations. Includes AI model integration for automated annotation. Perfect for streamlining computer vision projects. classes to these objects, and save annotations.

Marrying Grounding DINO with Segment Anything & Stable Diffusion & Tag2Text & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Audio Inputs

Combining three computer vision foundation models, Segment Anything Model (SAM), Stable Diffusion, and Grounding DINO, to edit and manipulate images.

This project explores the intersection of NLP and CV, showcasing the potential of leveraging three powerful models – SAM, Stable Diffusion, and Grounding DINO – to edit manipulate images through textual commands.

Count the number of occurrences of various objects in single or multiple images, leveraging the capabilities of GroundingDINO. This extension enhances GroundingDINO's usability by incorporating object counting functionality, providing a total count of detected items.

A Step-by-Step Guide to Augmenting Digitized Historical Images, Semester project @ CVlab & EPFL+ECAL Lab

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

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.

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

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

SegMate: A Segmentation Toolkit

Grounding DINO module for use with Autodistill.