Legacy JSON-to-YOLO dataset converter for COCO, LabelMe, Labelbox, VoTT, INFOLKS, and ATH annotations. Superseded by convert_coco() in the Ultralytics package.
Convert and customize FLIR dataset to YOLO txt files. Works with any Conservator formatted annotation (JSON) file.
Python file to convert the exported output from labelbox to coco
Fetch & color-correct labelled images & generate training.txt from LabelBox JSON file (https://app.labelbox.com/)
一个专为AI素材管理、YOLO 模型训练设计的全链路数据闭环系统，实现了从“智能去重”到“交互标注”，再到“本地/云端多场景算力调度”的生产力飞跃
Some data preprocessing scripts to generate label mask from Labelbox and ImageJ annotations to use them to train semantic segmentation deep learning models
This repository contains the Mask Generator project, which leverages the Segment Anything model by Meta AI to automatically generate masks from video frames. It uses the Segment Anything model to segment and process video frames, producing accurate segmentation masks that are then encoded into Run-Length Encoding (RLE) format.
Professional Portfolio of Mehedi – Expert Data Annotator & Quality Control Manager with 7+ years of experience in 35+ AI/ML projects. Showcasing expertise in CVAT, Labelbox, Roboflow, and high-precision dataset preparation for Computer Vision and NLP.
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