CoreMLCompare vs Segment Anything

CoreMLCompare allows CoreML models to be easily compared and tested in real-time using the Vision Framework. The purpose is to seamlessly compare different models when detecting objects or quickly test your trained model, without the need to build your own test app. Features: - Import a new model either by using the pasteboard or after downloading the .mlmodel file on the device (browser download) - Change the model default name and configure a different color for it - Each model can be configured with a different minimum confidence level between 40% and 90% - Stopping specific models from detecting objects - using 4 models in parallel is quite processing-intensive - Can detect hot dogs (or bananas)

Enjoy state-of-the-art image segmentation on your iPhone or iPad. All processing is done locally on your iphone or ipad, everything works without network. We've optimized it for smooth, reliable performance on your device. The implementation of Segment Anything is based on the open source SAM(Segment Anything Model). In Pro mode, users will be able to unlock the following features: 1. Instead of being limited to adding only 3 "Add mask" areas, users can add up to 50 in the Pro mode. 2. The "Remove area" feature becomes available, providing users more flexibility and control over the image cutout process. 3. Users have the ability to download their cutout images, perfect for saving, sharing, or using in other applications.