🚀🚀🚀 A collection of some awesome public YOLO object detection series projects and the related object detection datasets.

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

High-resolution models for human tasks.

Official code implementation of General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…

Configs and boilerplates for Label Studio's Machine Learning backend

HAnd Gesture Recognition Image Dataset

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

The training program for libfacedetection for face detection and 5-landmark detection.

Mirror of https://git.ffmpeg.org/ffmpeg.git

Latex code for making neural networks diagrams

Official PyTorch Implementation of aLRP Loss [NeurIPS2020]

Implementation of PFLD For 68 Facial Landmarks By Pytorch

Protocol Buffers - Google's data interchange format

Simplify your onnx model

A (very) simple UI lib built on top of OpenCV drawing primitives

[CVPR2020] GhostNet: More Features from Cheap Operations

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

Face Analysis Project on MXNet

DBFace is a real-time, single-stage detector for face detection, with faster speed and higher accuracy

model compression based on pytorch (1、quantization: 16/8/4/2 bits(dorefa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、ternary/binary value(twn/bnn/x…

1M人脸检测模型(含关键点)

ncnn is a high-performance neural network inference framework optimized for the mobile platform

Datasets, Transforms and Models specific to Computer Vision