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

A package to read and convert object detection datasets (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC metrics.

Use this project to automatically annotate your dataset for free in CVAT

Python wrapper for cvat

Tools for working with data for annotating animal behavior. These were specifically designed during construction of the KABR dataset.

Создание автоматической аннотации с использованием предобученной модели YOLOv5

This reposity contains some serverless functionality for auto annotations

A parser for tracklet labels in KITTI Raw Format 1.0 created by the Computer Vision Annotation Tool (CVAT).

Yolo autolabel. It can export the dataset to CVAT format for editing or exporting to another format

Código para entrenamiento de modelo para detección de objetos con algoritmo Yolov8 de Ultralytics

AnnotationParser is a universal Python library that parses annotation files from different formats (LabelMe, COCO, VOC, etc.) into a single unified Shape data structure. This allows you to work with annotations using a consistent interface, regardless of the original format.

Connects Nuclio / CVAT to Lighting flash ML models

A Python program that can convert Segmentation mask 1.1 to Yolov8 format.

Integrating Delphi and CVAT: Bandwidth-Efficient Interactive Labeling

Use this if you have a set of annotations and images and want to import them into CVAT (could be for editing the bounding boxes or to export the dataset to another format).

CVAT COCO exported dataset manipulation

A Pascal VOC annotation Merge Library

Peach blossom apricot identification