Python wrapper for cvat

Source code for "CVAT-BWV: A Web-Based Video Annotation Platform for Police Body-Worn Video" accepted at IJCAI 2024.

Documentation for deployment of cvat on Google Cloud (under development)

Candy classification project using digital image processing. Includes dataset creation, model development, and evaluation tools with TensorFlow, OpenCV, and Albumentations. Complete setup and instructions provided for building and training the model.

A Pascal VOC annotation Merge Library

Object detection YOLOv5m finetuning on custom dataset with PyTorch. The custom dataset was labeled in CVAT and preprocessed in Roboflow. Data augmentation is implemented in the last experiments. Inference on images.

簡單上傳模型至cvat

Docker Images for CVAT (not affiliated)

Watermelon fruits detection using deep learning.

tiny pascalVOC utilities

Object detection toolbox for parsing, converting and evaluating bounding box annotations.

The "Car Brand Detection" project aims to develop an efficient system for identifying car brands from images using computer vision techniques. Utilizing a labeled dataset created with CVAT and training with the YOLO v8 model, the project seeks to achieve high accuracy in recognizing various car brands in real-world scenarios.

Connects Nuclio / CVAT to Lighting flash ML models

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

YOLOv4 for Clusters detection and identification in LKr NA62 CERN

CVAT SDK for JavaScript in the browser and Node.js

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

Создание автоматической аннотации с использованием предобученной модели YOLOv5

Repo containing a small pipeline to perform semantic annotation