There are 6 repositories under bounding-boxes topic.
Image augmentation for machine learning experiments.
Most popular metrics used to evaluate object detection algorithms.
Labelbox is the fastest way to annotate data to build and ship computer vision applications.
📽 Highly Optimized Graphics Math (glm) for C
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.
Label Objects and Save Time (LOST) - Design your own smart Image Annotation process in a web-based environment.
Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering
Vehicle detection using YOLO in Keras runs at 21FPS
Fast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in 3D.
Make drawing and labeling bounding boxes easy as cake
Weakly Supervised Learning for Findings Detection in Medical Images
This is a repository for an nocode object detection inference API using the Yolov3 and Yolov4 Darknet framework.
Create image annotations. Classify, tag images with polygons, bounding boxes or points.
Automatic License Plate Recognition (ALPR) or Automatic Number Plate Recognition (ANPR) software that works with any camera.
A lightweight tool for labeling 3D bounding boxes in point clouds.
Build a CNN network to predict 3D bounding box of car from 2D image.
Ybat - YOLO BBox Annotation Tool
This is a repository for an nocode object detection inference API using the Yolov4 and Yolov3 Opencv.
Rapid satellite imagery object detection
A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
This is a repository for an object detection inference API using the Tensorflow framework.
A cross-platform desktop image annotation tool for machine learning
Demonstration using Google Colab to show how U-2-NET can be used for Background Removal, Changing Backgrounds, Bounding Box Creation, Salient Feature Highlighting and Salient Object Cropping.
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.
Functions for creating tfrecords for TensorFlow models.
Annotation data for JAAD (Joint Attention in Autonomous Driving) Dataset
Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision
How to initialize Anchors in Faster RCNN for custom dataset?
Real-time custom object detection in the browser using tensorflow.js
Create 3D labelled bounding boxes in RViz
Bounding Box is a library to plot pretty bounding boxes with a simple Python API.
Python library for 2D/3D bounding boxes
Tensorflow object detection with tracking based on the DeepSort algorithm
A 2-CNN pipeline to do both detection (using bounding box regression) and classification of numbers on SVHN dataset.
Pascal VOC BBox Viewer