Image augmentation for machine learning experiments.

Most popular metrics used to evaluate object detection algorithms.

📽 Highly Optimized 2D / 3D Graphics Math (glm) for C

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

Label images and video for Computer Vision applications

Label Objects and Save Time (LOST) - Design your own smart Image Annotation process in a web-based environment.

A lightweight tool for labeling 3D bounding boxes in point clouds.

Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering

HAnd Gesture Recognition Image Dataset

Automatic License Plate Recognition (ALPR) or Automatic Number Plate Recognition (ANPR) software that works with any camera.

Fast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in 3D.

Vehicle detection using YOLO in Keras runs at 21FPS

Create image annotations. Classify, tag images with polygons, bounding boxes or points.

Make drawing and labeling bounding boxes easy as cake

Weakly Supervised Learning for Findings Detection in Medical Images

Python library for computer vision labeling tasks. The core functionality is to translate bounding box annotations between different formats-for example, from coco to yolo.

This is a repository for an nocode object detection inference API using the Yolov3 and Yolov4 Darknet framework.

Ybat - YOLO BBox Annotation Tool

Build a CNN network to predict 3D bounding box of car from 2D image.

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.