Object-Detection-Metrics

Image augmentation for machine learning experiments.

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

? 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

HAnd Gesture Recognition Image Dataset

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

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

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.

Ybat - YOLO BBox Annotation Tool