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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

Next-generation Albumentations: dual-licensed for open-source and commercial use

Make drawing and labeling bounding boxes a piece of 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

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".

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.

[EC3'26] pystruct3d: bounding box fitting and reconstruction for scan-to-BIM workflows

Unofficial plugin for generating bounding boxes in Bevy

Calculate path lengths, points or angles at lengths based on raw pathdata