ML Highlight at Mac App Store analyse

ML Highlight is a developer tool that helps you create annotation data for training Object Detection models with CoreML, YOLO (Ultralytics), or YOLO (Darknet). Object Detection has many use cases: • Object tracking in computer vision • Face detection and recognition • Autonomous vehicle systems • Medical imaging analysis • Robotics and AR applications Unlike Object Classification, Object Detection provides the exact location of objects in images or video frames. With ML Highlight, you can quickly prepare annotated datasets with ease. No login required—just open a folder of images and start annotating. Use keyboard shortcuts for faster workflow. You can also import existing annotations if they’re in one of the supported formats—great for editing or continuing annotation work. The standout feature is automatic annotation using your own pre-trained model. Simply import a supported model and use it for one-click annotations—on individual images or entire batches, massively speeding up your workflow. After annotation, export your data with automatic or manual train/test splitting. Supported export formats: • CoreML – JSON with annotations • YOLO (Ultralytics & Darknet) – TXT files Free Version: • Limit to 1 Project • Limit to 2 Destinations • Import Unlimited Images Premium Subscription: • Unlimited Projects • Unlimited Destinations • Import Unlimited Images • Automatic Batch Annotations • Automatic Annotation in Selected Regions Unlock Premium directly in the app. ML Highlight Premium is available as an auto-renewable subscription. Payment will be charged to your Apple ID account at the confirmation of purchase. The subscription automatically renews unless it is canceled at least 24 hours before the end of the current period. Your account will be charged for renewal within 24 hours prior to the end of the current period. You can manage and cancel your subscriptions in your App Store account settings at any time. Privacy Policy: https://realuglyduckapps.blogspot.com/p/ml-highlight-privacy-policy-we-do-not.html Terms Of Service: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/