#bounding boxes

This repository features a straightforward image annotation tool for deep learning, optimizing with minimal setup. The lite version specializes in bounding box annotations and integrates with BMW’s TensorFlow and YOLO systems. It enhances productivity by allowing model connections for label suggestions, supports easy navigation and runs on Windows or Ubuntu using Docker. Features like zoom, brightness control, and efficient label management simplify AI training enhancement.

Enhance object labeling tasks with a user-friendly package designed to simplify bounding box visualizations. Bbox-visualizer supports automation by allowing the drawing, labeling, and customizing of bounding boxes and flags with styles like opaque overlays and T labels. The package integrates seamlessly into projects using intuitive Python commands and is freely available under the MIT license, providing accessible solutions for developers and researchers.