✏️ Web-based image segmentation tool for object detection, localization, and keypoints

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.

Tool for working with images annotations. Allows you to convert, modify and analyze annotations to images of such formats as Yolo, COCO, LabelMe, etc.

Convert annotations from VIA to COCO.

Vehicle make and model recognition (VMMR) using BVMMR dataset v2

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.

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

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.