Images to inference with no labeling (use foundation models to train supervised models).
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Updated
Jun 22, 2024 - Python
Images to inference with no labeling (use foundation models to train supervised models).
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything, MobileSAM!!
An open source python library for automated prediction engineering
A smart automated GitHub bot for managing GitHub projects.
Easiest way to use AI models without coding (Web UI & API support)
This code is for converting COCO json annotations to YOLO txt format (which both are common in object detection projects).
HuaHuoLabel is a multifunctional AI data label tool, which supports data label of five computer vision tasks, including single-category classification, multi-category classification, semantic segmentation, object detection and instance segmentation. It can also do image editing, dataset management, auto-labeling, and pseudo label generation.
Recognize Any Regions
🏗 hCaptcha image label binary model factory (PyTorch Training, Cluster-based Auto Label Tools, Export ONNX model, ONNX model inference)
Synthetic dataset generation with Stable Diffusion and generating of segmentation mask using Grounding DINO and Segment Anythin Model
Channel state information Auto-Labeling System
The Official PyTorch Implementation of DiscoBox.
Active Learning with Auto Labeling
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