OpenMMLab Detection Toolbox and Benchmark
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Updated
Jul 22, 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
Grounding DINO module for use with Autodistill.
Synthetic dataset generation with Stable Diffusion and generating of segmentation mask using Grounding DINO and Segment Anythin Model
Autodectify: Detect and Export Objects with Zero-Shot Object Detection Models
Combining three computer vision foundation models, Segment Anything Model (SAM), Stable Diffusion, and Grounding DINO, to edit and manipulate images.
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
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