Cityscapes to CoCo Format Conversion Tool for Mask-RCNN and Detectron
-
Updated
Mar 21, 2023 - Python
Cityscapes to CoCo Format Conversion Tool for Mask-RCNN and Detectron
Utility scripts for COCO json annotation format
Fast alternative to FiftyOne for creating a subset of the COCO dataset.
Convert annotations from VIA to COCO.
📦 HBB2OBB is a Python library for converting horizontal (axis-aligned) bounding boxes to oriented (rotated) bounding boxes using SAM-based segmentation. Includes tools for visualization, evaluation, format conversion, and hyperparameter tuning.
Dataset prep tool for object detection tasks
Object Detection Tools to convert between dataset formats, image splitting and stitching.
Production-quality object detection & tracking pipeline with self-supervised evaluation metrics. Built with Mask R-CNN + SORT algorithm.
Standalone pip-installable bidirectional COCO↔YOLO dataset format converter with multiprocessing support
SnapSeg: Fast interactive segmentation annotation tool with SAM, point prompts, and COCO/YOLO export.
Pytorch implementation of homework 3 for VRDL course in 2021 Fall semester at NYCU.
HalalBench: A Multilingual OCR Benchmark for Food Packaging Ingredient Extraction — halal food app, halal scanner
Pose2COCO Converter is a tool designed to transform pose annotations generated by OpenPose into the COCO format. This conversion is crucial for using pose data in COCO-based machine learning models and frameworks.
Image Annotation Tool - A modern desktop application for creating bounding box annotations on images. Export to COCO, YOLO, and Pascal VOC formats with a single click. Built with Python and Tkinter.
Add a description, image, and links to the coco-format topic page so that developers can more easily learn about it.
To associate your repository with the coco-format topic, visit your repo's landing page and select "manage topics."