A package to read and convert object detection datasets (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC metrics.
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Updated
Apr 18, 2024 - Python
A package to read and convert object detection datasets (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC metrics.
Converting COCO annotation (CVAT) to annotation for YOLOv8-seg (instance segmentation) and YOLOv8-obb (oriented bounding box detection)
This project aims to develope a Road-Segmentation model for Advanced Driver Assistance System (ADAS)
Репозиторий для обучения нейросетевых моделей по семантической сегментации + пример использования моделей на практике
A parser for tracklet labels in KITTI Raw Format 1.0 created by the Computer Vision Annotation Tool (CVAT).
Connects Nuclio / CVAT to Lighting flash ML models
Código para entrenamiento de modelo para detección de objetos con algoritmo Yolov8 de Ultralytics
This reposity contains some serverless functionality for auto annotations
Documentation for deployment of cvat on Google Cloud (under development)
Integrating Delphi and CVAT: Bandwidth-Efficient Interactive Labeling
Yolo autolabel. It can export the dataset to CVAT format for editing or exporting to another format
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 SDK for JavaScript in the browser and Node.js
Watermelon fruits detection using deep learning.
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