OpenMMLab Detection Toolbox and Benchmark
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Updated
Jun 12, 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 🔥
API for 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
GroundedSAM Base Model plugin for Autodistill
Generative AI based image editing/inpainting made super easy to work with.
SegMate: A Segmentation Toolkit
Grounding DINO module for use with Autodistill.
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
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.
A Step-by-Step Guide to Augmenting Digitized Historical Images, Semester project @ CVlab & EPFL+ECAL Lab
Autodectify: Detect and Export Objects with Zero-Shot Object Detection Models
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.
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.
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
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