Active Learning with Auto Labeling
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Updated
Jan 20, 2022 - Python
Active Learning with Auto Labeling
The Official PyTorch Implementation of DiscoBox.
Channel state information Auto-Labeling System
Synthetic dataset generation with Stable Diffusion and generating of segmentation mask using Grounding DINO and Segment Anythin Model
🏗 hCaptcha image label binary model factory (PyTorch Training, Cluster-based Auto Label Tools, Export ONNX model, ONNX model inference)
Recognize Any Regions
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.
This code is for converting COCO json annotations to YOLO txt format (which both are common in object detection projects).
A smart automated GitHub bot for managing GitHub projects.
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!!
Easiest way to use AI models without coding (Web UI & API support)
An open source python library for automated prediction engineering
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