The repository provides code for running inference with the Meta Segment Anything Model 3 (SAM 3).

Создание автоматической аннотации с использованием предобученной модели YOLOv5

This is a python based standalone image annotation tool designed for tasks such as image segmentation and object detection. The tool allows users to draw bounding boxes, polygons, and freehand paths, edit and manage annotations, and export the annotated data in multiple formats including COCO, YOLO, and PASCAL VOC.

Automate video data creation. Extract frames, generate annotations, export in various formats (YOLOv8, YOLO1.1). Integrate with Roboflow, CVAT. Built with Python and Streamlit.

StreamrCVAT backend codes - contains ML models and other backend stuff

CallAnnotate — контейнеризованная система автоматической обработки телефонных разговоров, обеспечивающая диаризацию спикеров, распознавание речи, интеграцию с CardDAV, транскрипцию и формирование структурированных JSON-отчётов. Предоставляет REST и WebSocket API для интеграции.

GPU-Optimized AI for Geospatial Annotation and Visual Search Accelerating Geospatial Intelligence through Distillation, Segmentation, and GPU Optimization.

The YOLO Auto-Annotation Tool is a GUI-based app simplifying image annotation for object detection. Built with Python, PySide6, and Ultralytics YOLO, it automates annotation via model inference while supporting human review.

imagepreprocessing