Vision Detector vs OmniClassify

Vision Detector is an AI image analysis tool that supports CoreML machine learning models, multi-modal Large Language Models, and on-device Apple Intelligence. Choose the mode that best fits your use case. You can choose one of the following image input sources: - Live video by built-in camera - Still image by the built-in camera - Photo Library - Files (iCloud, Google Drive, Dropbox, etc) For live video inputs, continuous inference is performed on the camera feed. However, the frame rate and other parameters depend on the device. # Notification Center Vision Detector can call Notification Center for predefined conditions. Broadcasting notifications send notification to your all Apple devices signed in with the same Apple Account. ## CoreML Mode Vision Detector locally executes CoreML models using Apple’s Vision framework. Before using this mode, prepare a machine learning model in the CoreML format (.mlmodel or .mlpackage) using Create ML. Import ML models via iClpoud or AirDrop. Vision Detector supports the following types of CoreML models: - Image classification - Object detection - Style transfer ## Vision LLM Mode Vision Detector can use multi-modal large language model (LLMs). Define what to do with prompt as following samples: - If the image is screen shot, answer the name software - Call notification when you see a cat - Count number of persons in the image, and notify when it changes ## Apple Intelligence mode Available with iOS 27 on selected devices (iPhone 17 Pro, iPhone Air, etc). The images are completely processed on your device locally with your prompt.

Transform your iPhone into a powerful machine learning lab. OmniClassify is the complete iOS toolkit for training, deploying, and running AI models entirely on-device. Your data never leaves your device—complete privacy, zero cloud uploads. COMPLETE ML WORKFLOW Import datasets from local folders, videos, Parquet files, or download directly from HuggingFace. Train custom models using CreateML, ONNX, or Vision Transformer architectures. Run real-time inference on images, videos, and live camera feed. Process everything locally with zero data transmission. KEY FEATURES Dataset Management Import from local folders, videos, Parquet files, or HuggingFace (Premium). DICOM medical imaging support. Automatic class detection, train/validation splits, and comprehensive statistics. Model Training (Premium) Train classification and segmentation models with CreateML, ONNX, or ViT. Custom training iterations (unlimited), advanced preprocessing, and progress monitoring. Model Import CoreML and ONNX model support. HuggingFace model downloads with automatic server-side conversion. Thousands of pre-trained models available. Image Classification Batch processing with unlimited capacity (Premium). Multi-model inference, confidence scores, detailed metrics, and result export (Premium). Object Detection YOLO model support with real-time bounding boxes. Multi-object detection, confidence thresholds, and live camera capabilities. Image Segmentation Semantic segmentation with pixel-level masks. Visual overlays and export capabilities (Premium). Video Processing Frame-by-frame AI analysis with custom intervals. Export annotated videos with bounding boxes, labels, and segmentation overlays. Live Camera Inference Real-time classification, detection, and segmentation using iPhone camera. Instant on-device results, works completely offline. DICOM Medical Imaging Full DICOM file support with multi-frame extraction, header reading, and integration with classification/detection models. HuggingFace Integration (Premium) Browse and download thousands of datasets and models. Automatic ONNX/CoreML conversion. Search by task type and license. Advanced Analytics (Premium) Confusion matrices, training metrics, validation curves. Export to JSON, CSV, PDF formats. Automation & Triggers Detection-based automations, Shortcuts app integration, custom notifications, URL opening, and haptic feedback. 100% ON-DEVICE PROCESSING Everything happens locally on your iPhone. Training, inference, analysis, and storage—all without internet or cloud servers. Your images, models, and data remain completely private. No uploads, no tracking, no data collection. PRIVACY FIRST All ML processing on-device. No cloud uploads. Complete offline functionality. No analytics or tracking. HIPAA-compliant workflows for medical imaging. PERFECT FOR ML researchers, data scientists, medical imaging professionals, computer vision developers, students, and hobbyists experimenting with AI. PREMIUM FEATURES Unlock unlimited datasets, unlimited models, unlimited inference, advanced training, exports, HuggingFace integration, and comprehensive analytics. Free tier includes 3 datasets, 2 models, and unlimited inference—perfect for getting started. Start building and deploying AI models on your iPhone today. Complete privacy. Complete control. Complete ML toolkit. Terms of Use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ Privacy Policy: https://omniclassify.com/privacy