OpenLabeling

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

Image augmentation for machine learning experiments.

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

Most popular metrics used to evaluate object detection algorithms.

PyTorch ,ONNX and TensorRT implementation of YOLOv4

A curated list of awesome data labeling tools

mean Average Precision - This code evaluates the performance of your neural net for object recognition.