OpenMMLab Detection Toolbox and Benchmark
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Updated
Jun 7, 2024 - Python
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 🔥
👁️ + 💬 + 🎧 = 🤖 Curated list of top foundation and multimodal models! [Paper + Code + Examples + Tutorials]
API for Grounding DINO 1.5: IDEA Research's Most Capable Open-World Object Detection Model Series
A tab for sd-webui for replacing objects in pictures or videos using detection prompt
Grounding DINO module for use with Autodistill.
GroundedSAM Base Model plugin for Autodistill
SegMate: A Segmentation Toolkit
Marrying Grounding DINO with Segment Anything & Stable Diffusion & Tag2Text & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Audio Inputs
Generative AI based image editing/inpainting made super easy to work with.
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
A curated list of tools using and applications of Grounding DINO.
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.
Pranav's code contribution during his internship at ARL-W. Includes gaze-based object detection GUI and screen tracking script.
Automatic data labeling tool, with flexible search patterns, using the power of GroundingDINO (detect anything with language).
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
A Step-by-Step Guide to Augmenting Digitized Historical Images, Semester project @ CVlab & EPFL+ECAL Lab
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