What is ImageBoxer?
Image Boxer is a fast, open-source bounding box tool with auto-align, autosave, and one-click ML-ready export. Get COCO, YOLO, and annotated images in a zip—ready for training. No setup needed. Just annotate, export, and build your model.
Problem
Users manually annotate images with bounding boxes for machine learning datasets, which is time-consuming, error-prone, and lacks native ML-ready export formats.
Solution
An open-source bounding box annotation tool enabling users to auto-align boxes, autosave progress, and export annotated datasets (COCO/YOLO formats) in one click, eliminating manual setup.
Customers
Data scientists, ML engineers, and computer vision developers building custom models requiring annotated image datasets quickly and flexibly.
Unique Features
Open-source + auto-alignment for precise boxes + zero-config ML format export (directly train models without post-processing)
Traction
Launched 2 months ago | Open-source GitHub repo (specific stars/forks not provided) | Product Hunt upvotes not specified in input
Market Size
The global computer vision market is projected to reach $41.11 billion by 2030 (Grand View Research), driving demand for annotation tools like Image Boxer.
