Web-based annotation tool for media data. The easiest way to create you own media dataset.

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.

Auto-LabelImg Tool base on VoTT, An electron app for building end to end Object Detection Models from Images and Videos. (2024)

StreamrCVAT backend codes - contains ML models and other backend stuff

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

This project is a handcrafted end-to-end Optical Character Recognition (OCR) pipeline built to transcribe my handwritten journal entries into digital text—using PyTorch, Faster R-CNN, AWS Lambda, and iOS Shortcuts. It's a personal and technical showcase of deep learning, MLOps, and full-stack AI deployment. Includes in-depth technical report.

Data collection and automatic labeling for dense video captioning models

YoloV3 Implemented with Auto-Annotation in Tensorflow 2.0

imagepreprocessing

StreamrCVAT desktop application