Image augmentation for machine learning experiments.

Most popular metrics used to evaluate object detection algorithms.

Label images and video for Computer Vision applications

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.

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

Weakly Supervised Learning for Findings Detection in Medical Images

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

HAnd Gesture Recognition Image Dataset

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

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

Minimalistic COCO Dataset Viewer in Tkinter

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.

Annotation data for JAAD (Joint Attention in Autonomous Driving) Dataset

This is a repository for an object detection inference API using the Tensorflow framework.

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

Yolov5 Face Detection

Make drawing and labeling bounding boxes easy as cake

Functions for creating tfrecords for TensorFlow models.

YOLOv7 to detect bone fractures on X-ray images

Detect the tables in a form and extract the tables as well as the cells of the tables.