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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
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.
Next-generation Albumentations: dual-licensed for open-source and commercial use
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.
Unofficial plugin for generating bounding boxes in Bevy
Calculate path lengths, points or angles at lengths based on raw pathdata
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。
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