A Swift library for detecting and cropping faces, barcodes, and text in images using iOS 11 Vision API.
ImageDetect is a Swift library that uses Apple's iOS 11 Vision API to detect and crop faces, barcodes, and text in images. It automates the process of identifying these objects within an image and creating new cropped images for each one, simplifying computer vision tasks for iOS developers.
iOS developers building apps that require image analysis features, such as photo editing tools, document scanners, or augmented reality applications.
Developers choose ImageDetect because it provides a clean, Swift-native abstraction over the Vision API, reducing boilerplate code and making it easy to integrate robust object detection with minimal setup.
✂️ Detect and crop faces, barcodes and texts in image with iOS 11 Vision api.
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Provides a clean, Swift-based interface over Apple's Vision API, reducing boilerplate code and making integration accessible without deep API knowledge, as shown in the simple crop method usage.
Automatically generates separate UIImage instances for each detected object, saving developers from manual cropping logic, which is highlighted in the library's key features.
Uses an enum with .success, .notFound, and .failure cases, offering straightforward error and state management, as demonstrated in the code example for robust handling.
Efficiently handles three common detection types (face, barcode, text) that are well-supported by iOS Vision, reducing complexity for typical app needs.
Requires iOS 11.0 or higher, excluding support for older devices and apps with broader compatibility needs, as stated in the Requirements section.
Only supports face, barcode, and text detection; misses out on other Vision features like rectangle detection or object tracking, which could limit more advanced use cases.
The README offers a basic usage example but lacks in-depth tutorials, API references, or best practices for advanced scenarios, potentially increasing trial-and-error for developers.