Topic: grounding-dino Goto Github
Some thing interesting about grounding-dino
Some thing interesting about grounding-dino
grounding-dino,Images to inference with no labeling (use foundation models to train supervised models).
Organization: autodistill
Home Page: https://docs.autodistill.com
grounding-dino,GroundedSAM Base Model plugin for Autodistill
Organization: autodistill
Home Page: https://docs.autodistill.com
grounding-dino,Grounding DINO module for use with Autodistill.
Organization: autodistill
Home Page: https://docs.autodistill.com
grounding-dino,A curated list of tools using and applications of Grounding DINO.
User: capjamesg
grounding-dino,Automatic data labeling tool, with flexible search patterns, using the power of GroundingDINO (detect anything with language).
User: fvilmos
grounding-dino,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.
User: imane0x
grounding-dino,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.
User: jayyshah
grounding-dino,A tab for sd-webui for replacing objects in pictures or videos using detection prompt
User: light-and-ray
grounding-dino,Synthetic dataset generation with Stable Diffusion and generating of segmentation mask using Grounding DINO and Segment Anythin Model
User: marco2929
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.
User: marinto-richee
grounding-dino,Dashboard for Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection
User: naseemap47
grounding-dino,OpenMMLab Detection Toolbox and Benchmark
Organization: open-mmlab
Home Page: https://mmdetection.readthedocs.io
grounding-dino,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
User: originalbyteme
Home Page: https://cutouts.noahrijkaard.com
grounding-dino,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
User: originalbyteme
Home Page: https://cutouts.noahrijkaard.com
grounding-dino,Generative AI based image editing/inpainting made super easy to work with.
User: pooya-mohammadi
grounding-dino,A minimalistic webapp to perform zero shot object detection based on textual prompts using GroundingDINO
User: prateekralhan
grounding-dino,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.
User: rishikesh-jadhav
grounding-dino,Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API 🔥
Organization: roboflow
grounding-dino,Combining three computer vision foundation models, Segment Anything Model (SAM), Stable Diffusion, and Grounding DINO, to edit and manipulate images.
User: scheshmi
grounding-dino,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.
User: shrimantasatpati
grounding-dino,👁️ + 💬 + 🎧 = 🤖 Curated list of top foundation and multimodal models! [Paper + Code + Examples + Tutorials]
User: skalskip
grounding-dino,A Step-by-Step Guide to Augmenting Digitized Historical Images, Semester project @ CVlab & EPFL+ECAL Lab
User: tgieruc
Home Page: https://tgieruc.github.io/Heritage-in-the-digital-age/
grounding-dino,SegMate: A Segmentation Toolkit
Organization: vectorinstitute
Home Page: https://segmate.readthedocs.io
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