Images Classifier
相片與影片
USD 2.99 · 專為 iPad 設計
Images Classifier enables you to identify and group images using your iPhone or iPad with custom-trained machine learning models.
The app includes a built-in model, FruitsClassifier.mlmodel, which detects 8 different types of fruits using a neural network.
Features:
• Automatically group images into category folders, accessible via the Files app
• Preview grouped images within the app
• Set a classification confidence threshold - images below this value are grouped under "Other"
• Load and run custom machine learning models from your library
• Rename or delete models directly from the library
Grouped images are saved in the Files app under:
[Images Classifier / Images]
To Add a Custom Model:
Download a pre-trained .mlmodel file and place it in:
[Images Classifier / MLModel] via AirDrop
You can also train your own model using tools like CreateML or TensorFlow (models must be converted to .mlmodel format)
Custom Model Tips:
For example, if your model classifies 5 dog breeds - Husky, Bulldog, Golden Retriever, German Shepherd, and Beagle—it will perform accurately for those. However, classifying an unfamiliar breed like Boxer may result in incorrect predictions (e.g., classified as Bulldog).
To improve results, include as many relevant classes as possible when training your model.
Usage Examples:
• Group plant species images in the jungle using a custom-trained model
• Identify and sort dog breeds with a trained model
• Classify and group wildlife or insect species
• Detect and categorize defective products
• And many more use cases - limited only by your creativity
Quick Start Guide:
1. AirDrop your .mlmodel file (e.g., DogBreedsModel.mlmodel) into:
[Images Classifier / MLModel] via the Files app
2. Launch the Images Classifier app
3. Open the Library tab and select your model (e.g., DogBreedsModel.mlmodel)
4. Load images from your Camera Roll
5. Tap Run and wait for processing to complete
6. Tap Result to view categorized images
7. Access all grouped images in the Files app under:
[Images Classifier / Images]
[*] Make sure your model is specifically trained for image classification (not object detection or other ML types).
What is Image Classification?
Image classification is the process of identifying and labeling groups of pixels or vectors within an image using predefined rules.
It's a supervised learning task where a model is trained to recognize specific target classes using labeled sample images.
Early computer vision models used raw pixel data as input, and this foundation still powers many modern classification techniques.
Thanks for your support and do visit nitrio.com for more apps for your iOS devices.
評分與評論
此App未收到足夠的評分或評論以顯示概況。
- Updated for the newest devices.
- Minor bugs fixed.
開發者Heng Jia Liang表明App的私隱慣例或包括下列資料的處理。詳情請參閲 開發者的私隱政策 。
不收集資料
開發者不會從此 App 收集任何資料。
輔助使用
開發者尚未表示此 App 支援哪些輔助使用功能。 進一步了解
資料
- 供應商
- Heng Jia Liang
- 大小
- 10.9 MB
- 類別
- 相片與影片
- 相容性
須使用 iOS 12.0 或以上版本。
- iPhone
須使用 iOS 12.0 或以上版本。 - iPad
須使用 iPadOS 12.0 或以上版本。 - iPod touch
須使用 iOS 12.0 或以上版本。 - Mac
須使用 macOS 11.0 或以上版本及配備 Apple M1 或以上版本晶片的 Mac。 - Apple Vision
須使用 visionOS 1.0 或以上版本。
- 語言
- 英文
- 年齡分級
4+
- 4+
- 版權
- © Heng Jia Liang

