D

depth-estimation

A nutrition analysis system that uses computer vision, RAG, and an AI assistant to evaluate food products, calculate macronutrients, and provide personalized recommendations.

Ultralytics YOLO iOS app and Swift package for real-time Core ML inference across major computer vision tasks.

GitHub: https://github.com/ultralytics/yolo-ios-app

https://apps.apple.com/app/ultralytics-yolo/id1452689527

Official Ultralytics YOLO Flutter plugin for real-time inference on Android and iOS across major vision tasks.

GitHub: https://github.com/ultralytics/yolo-flutter-app

https://pub.dev/packages/ultralytics_yolo

High-performance Ultralytics YOLO inference in Rust with ONNX Runtime, GPU backends, CLI, and WebGPU/WASM.

GitHub: https://github.com/ultralytics/inference

https://docs.ultralytics.com/inference

Ultralytics YOLO26 quickstart for detection, instance and semantic segmentation, depth estimation, classification, pose, OBB, and tracking.

GitHub: https://github.com/ultralytics/yolo26

https://platform.ultralytics.com/ultralytics/yolo26