Vehicle make and model recognition (VMMR) using BVMMR dataset v2
-
Updated
Sep 5, 2020 - Jupyter Notebook
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.
Cityscapes to CoCo Format Conversion Tool for Mask-RCNN and Detectron
Convert annotations from VIA to COCO.
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.
✏️ Web-based image segmentation tool for object detection, localization, and keypoints
Utility scripts for COCO json annotation format
Yolact++ training with custom dataset (coco.json format) in Google Colab
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."