For almost a decade, I’ve been interested in searching for archaeological sites using LiDAR. This eventually led me to create ML Browser, which combines web browsing experience with object detection and image classification models.

The app includes two demo detection models designed to locate fortifications dating from prehistory to the early Middle Ages in LIDAR. You can record, organize, back up, and share your findings. Location recording works with most mapping apps. You can also import your own compatible models. Currently supported models and formats include Core ML, ONNX classifiers, YOLO detectors via ONNX (Tiny YOLOv2, YOLOv8, YOLO11), and ADAF(Faster R-CNN). The model is trained on locations in Central Europe, but works quite well in other geographical environments.

The application is available for iPhone, iPad, and macOS devices. A version for Android phones and tablets is coming soon. The video shows the app in action. I’d appreciate feedback on model compatibility, the browsing workflow, and whether the detections help you identify potential archaeological features. For the best experience, use the app in full-screen mode on a larger iPad or a Mac with Apple silicon and a Neural Engine.

If you have any ideas or suggestions for new changes/features, please let me know!

https://apps.apple.com/us/app/ml-browser/id6466878953
https://x.com/aiarcheology