A curated list of awesome data labeling tools

Data Augmentation For Object Detection

3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling

Make drawing and labeling bounding boxes easy as cake

This repository provides you with an easy-to-use labeling tool for State-of-the-art Deep Learning training purposes. It supports Auto-Labeling.

Simplest and fastest image and text annotation tool.

Octree/Quadtree/N-dimensional linear tree

Easily create a web UI on Amazon Mechanical Turk to crowd-source instance segmentation data

Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation Using Bounding Boxes

Open source annotation and labeling tool for image and video assets

Pixano App is a web-based smart-annotation tool for computer vision applications.

Pixano Elements - Re-usable web components dedicated to data annotation tasks.

Calculates extent/bbox for a given valid geojson object.

Detection is performed by combining two approaches: Yolo bounding box and pose landmarks, where both outputs are mapped into a 10x10 grid (made with OpenCV), which serves as a reference for the wheelchair to avoid obstacles. Commands are sent from the NUC to the ESP32, which then moves the motor.

Unofficial plugin for generating bounding boxes in Bevy

LiDAR processing ROS2. Segmentation: "Fast Ground Segmentation for 3D LiDAR Point Cloud Based on Jump-Convolution-Process". Clustering: "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance".

This program shows how Bounding-Box-Regression works in a visual form. Intersection over Union ( IOU ), Non Maximum Suppression ( NMS ), Object detection, 边框回归，边框回归可视化，交并比，非极大值抑制，目标检测。

Pytorch implementation of F-CAM. Paper: "F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling".

OpenCVを用いたバウンディングボックス装飾の作例集。

Geometry intersection and bounding volume helpers for PEX.