Utility scripts for COCO json annotation format

Dataset-convertor tool in python for object detection dataset

A CLI that converts CSV files and folders with image data to a JSON file with COCO annotations and builds a custom dataset off of it ready to train for object detection tasks.

GeoCamPal is a modular image analysis toolkit with a GUI and an open-source Python environment. It integrates specialised tools for camera calibration and image harmonisation, feature identification, including manual editing, labeled training data preparation, georeferencing , DEM generation, timestack creation, and wave-runup analysis.

AI-powered automatic image annotation using YOLOv8 + SAM. Supports polygon and bounding box modes with COCO JSON export.

它叫“抠二狗”，帮助您针对 coco 标注文件进行简单的检索或简单处理

Segmentation mask to coco json

Schema-driven image annotation suite supporting complex labeling workflows. Customise colors, icons, and metadata flags via JSON. Built for rapid dataset creation with multi-schema support, undo/redo commands, and automated sidecar backups.

Early detection of colonic polyps is essential for preventing colorectal cancer. This project builds a full instance segmentation pipeline using Detectron2 to automatically detect and segment polyps from colonoscopy images.

🚀 YOLO to COCO Conversion: Easily convert YOLO annotation format to COCO JSON using a Streamlit app. Customize categories, visualize annotations, and download JSON output. Perfect for computer vision projects!