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