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.
✏️ Web-based image segmentation tool for object detection, localization, and keypoints
Yolact++ training with custom dataset (coco.json format) in Google Colab
Utility scripts for COCO json annotation format
Tool for working with images annotations. Allows you to convert, modify and analyze annotations to images of such formats as Yolo, COCO, LabelMe, etc.
Fast alternative to FiftyOne for creating a subset of the COCO dataset.
Convert annotations from VIA to COCO.
Cityscapes to CoCo Format Conversion Tool for Mask-RCNN and Detectron
Pytorch implementation of homework 3 for VRDL course in 2021 Fall semester at NYCU.
mask rcnn training with coco-like dataset. You can use for trainnig your own coco.json (polygon) dataset in Google Colab.
A dataset for semantic segmentation of Sosnowsky's hogweed in the ground-level view photos taken in St. Petersburg, Malaya Vishera, Pushkin, etc.
Dataset prep tool for object detection tasks
Vehicle make and model recognition (VMMR) using BVMMR dataset v2
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