Make drawing and labeling bounding boxes a piece of cake

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

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.

OpenCVを用いたバウンディングボックス装飾の作例集。

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

Get labels' position to make faster r-cnn samples. 制作 faster r-cnn 样本

Python library for Object Detection metrics.

This project is aimed at converting between two representations of text detection bounding box labels (rotated rectangle bounding boxes): txt and xml.

Labeling tool for image annotations

A package to plot pretty bounding boxes for object detection task

Annotation tools that apply SAM to YOLO bounding box and polygon annotations

Preprocessed CARRADA Dataset for radar object detection task using bbox annotations

Data Augmentation with PyTorch, Tensorflow, Imgaug and Albumentations. It also involves bounding box augmentation.

Tool to inflate the bounding box of a Collada file to match the bounding box of another.

A Robust, light-weight and unique 3D object detection architecture providing results (better than the conventional architectures) in real-time autonomous driving scenarios

generate YOLO training dataset, show bounding box of objects

Venus Image Annotator is a fast, user-friendly, and modern tool for drawing bounding boxes and saving annotations in **YOLO format**. Designed for both beginners and professionals working on image labeling and machine learning datasets.

RnD effort (to overlay polygon on video) that is more towards using opencv or PIL for overlay and using some annotation tools to get the polyline/bounding box.

✏️ Convert VoTT annotations to COCO annotations

A real-time object detection system that identifies and classifies objects in images or video streams using deep learning models like YOLO, Faster R-CNN, or SSD. Built with TensorFlow and OpenCV, it supports applications in surveillance, autonomous vehicles, and more.