Image augmentation for machine learning experiments.
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Updated
Apr 6, 2024 - Python
Image augmentation for machine learning experiments.
Most popular metrics used to evaluate object detection algorithms.
Label images and video for Computer Vision applications
📽 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.
Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering
Vehicle detection using YOLO in Keras runs at 21FPS
Create image annotations. Classify, tag images with polygons, bounding boxes or points.
Rapid satellite imagery object detection
Automatic License Plate Recognition (ALPR) or Automatic Number Plate Recognition (ANPR) software that works with any camera.
Weakly Supervised Learning for Findings Detection in Medical Images
A lightweight tool for labeling 3D bounding boxes in point clouds.
Ybat - YOLO BBox Annotation Tool
Fast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in 3D.
HAnd Gesture Recognition Image Dataset
Label Objects and Save Time (LOST) - Design your own smart Image Annotation process in a web-based environment.
This is a repository for an nocode object detection inference API using the Yolov3 and Yolov4 Darknet framework.
Real-time custom object detection in the browser using tensorflow.js
This is a repository for an nocode object detection inference API using the Yolov4 and Yolov3 Opencv.
Build a CNN network to predict 3D bounding box of car from 2D image.
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