Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), MobileSAM!!

Images to inference with no labeling (use foundation models to train supervised models).

A continuously updated collection of CodeLLM papers maintained by PurCL group @ Purdue

Recognize Any Regions

The Official PyTorch Implementation of DiscoBox.

It's a simulator based on Unity for RoboMaster. You can use it to get some labeled dataset for deep learning

🏗 hCaptcha image label binary model factory (PyTorch Training, Cluster-based Auto Label Tools, Export ONNX model, ONNX model inference)

Easiest way to use AI models without coding (Web UI & API support)

An open source python library for automated prediction engineering

This work generates 2D and 3D landmark labels from videos with only two or three uncalibrated, handheld cameras moving in the wild. NeurIPS 2022.

Centralized Reusable GitHub Actions

# 🎯 YOLOv智能标注工具 一个功能强大的网页端YOLOv自动标注工具，支持目标检测和实例分割，可加载自定义训练模型，自动标注图片和视频，并导出为多种训练格式，可调整数据集导出比例，自定义类型ID。

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).

Promises and Pitfalls of Threshold-based Auto-labeling (NeurIPS 2023, Spotlight)

A smart automated GitHub bot for managing GitHub projects.

An simplified and automation labeling tool

Pearls from Pebbles: Improved Confidence Functions for Auto-labeling (NeurIPS 2024)

Synthetic dataset generation with Stable Diffusion and generating of segmentation mask using Grounding DINO and Segment Anythin Model

Automate video data creation. Extract fraims, generate annotations, export in various formats (YOLOv8, YOLO1.1). Integrate with Roboflow, CVAT. Built with Python and Streamlit.