Vision Detector vs FastLabel

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 the 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 sends notifications to 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 iCloud or AirDrop. Vision Detector supports the following types of CoreML models: - Image classification - Object detection - Object Segmentation - Style transfer Built-in Vision framework is also available for human mask and image classification. ## Vision LLM Mode Vision Detector can use multi-modal large language model (LLMs). Define what to do with the prompt as follows: - If the image is a screenshot, answer the name of the software - Call a notification when you see a cat - Count the number of persons in the image, and notify when it changes ## Apple Intelligence mode The images are completely processed on your device locally with your prompt.

FastLabel is the fastest way to label image datasets on your iPhone. Import a ZIP with images, define your labels, and start labeling instantly. Designed for speed and simplicity, FastLabel lets you go through large datasets quickly with a smooth, one-by-one workflow. Features: • Import images from ZIP files (JPG, PNG, JPEG) • Fast, focused labeling experience • Simple label set creation • Overview of all images in a grid • Continue where you left off • Export labels as JSON, CSV, or JSONL • Optionally export images together with labels Perfect for: • Machine learning datasets • Computer vision projects • AI training data preparation • Quick annotation tasks on the go All data stays on your device. No accounts, no uploads, no tracking.