Converting COCO annotation (CVAT) to annotation for YOLOv8-seg (instance segmentation) and YOLOv8-obb (oriented bounding box detection)

Fast alternative to FiftyOne for creating a subset of the COCO dataset.

A useful script for converting voc format annotations(generated by LabelImg or Labelme) to coco format annotations

Convert annotations from VIA to COCO.

Pytorch implementation of homework 2 for VRDL course in 2021 Fall semester at NYCU.

This Python script generates a synthetic dataset of traffic sign images in COCO format, intended for training and testing object detection models. The dataset includes various traffic sign overlays placed on diverse background images, offering a wide range of scenarios to enhance model robustness.

mask rcnn training with coco-like dataset. You can use for trainnig your own coco.json (polygon) dataset in Google Colab.

Yolact++ training with custom dataset (coco.json format) in Google Colab