On-demand Image Processing
The SDKs use AI to automate the processing of large numbers of images. This improves the efficiency of image processing, including portrait production and retouching, commodity image editing and publishing, and marketing poster production. You only need to call the API and upload images.
The SDKs are developed based on the best practices of Alibaba Group in image segmentation. They process billions of SKUs on an annual basis and can automatically produce commodity images with white backgrounds. This saves the Alibaba platforms and its customers more than ten million hours and tens of millions of USD on overhead costs annually.
Download a demo APK to test the SDKs before you make a purchase. Simply integrate the SDKs with your applications after official purchase.
All data is locally processed on devices to maximize data security.
The API can meet your business requirements in most scenarios.
After subjects and images are detected or recognized, they are automatically classified to trigger real-time actions. This improves user experience.
High-precision models and algorithms help recognize images and detect subjects.
Intelligently detect and identify a variety of objects such as object and backgrounds, and automatically generate tags and classify the subjects.
Android system: Android 4.0 is supported. The devices that you use must include a camera module and a gyroscope module.
iOS system: iOS 10. iPhone 5s and later models are supported. The devices that you use must include a camera module.
|Real-time Video Segmentation||48ms|
|Real-time Lossless Segmentation||50ms|
|Offline Image Segmentation||1ms|
|Offline Video Segmentation||20ms|
|Offline Image Enhancement||1ms|
Interactive Live Streaming
You can use the offline SDKs to perform comprehensive recognition and scene recognition in scenarios that require automatic subject recognition, scene pixel-level recognition, hollow object recognition, and subject recognition in a complex background. The offline SDKs ensure high stability and do not have high requirements on hardware. You can also use the offline animation SDK to convert images to animations. This helps you create a wider range of content for your audience.
Real-time Video Segmentation SDK
Intelligent ID Photo Production
In this scenario, you can use the offline image segmentation SDK to identify subjects in images, remove backgrounds, and smoothen image edges. This SDK can help you enable high-precision image segmentation and cut and replace elements in images with complex backgrounds. After you perform image segmentation, you can use the offline retouching SDK to retouch images. You can use the SDK to perform retouching operations such as smoothing, sharpening, and whitening, and edit facial features in a precise manner.
Offline Image Segmentation SDK
Offline Retouching SDK
In this scenario, you can use the offline image segmentation SDK to automatically split product images in batches and use the offline image enhancement SDK to optimize the quality of the image segments that you obtain after image segmentation. This ensures that the image quality remains unchanged when you zoom in on the image segments. Then, you can use the image segments to create marketing posters, product images with a white background, product details pages, and other image products. Compared with traditional manual image segmentation methods, these SDKs can help you improve the overall efficiency of image segmentation by 99%.
Offline Image Segmentation
Offline Image Enhancement
The SDK enables high-precision image segmentation based on a deep learning framework and detection and recognition technologies. The SDK supports virtual backgrounds in online meetings and allows users to switch backgrounds during communications. This improves user experience in meetings.
Real-time Video Segmentation
User Identification for Access Control Systems
In access control scenarios that require user identification such as office buildings, campuses, and home security systems, you can use the offline SDKs to quickly perform a local identity check in a secure and efficient manner. The identification process is imperceptible to the individuals whose identity the system checks.
In this scenario, you can use the SDKs to count physical body movements in real time based on the data collected by cameras on intelligent devices. The SDKs can also provide feedback on irregular movements and use mirror-like devices to help users adjust their movements in real time. This improves the quality of exercise and allows users to review the accuracy of their movements.
Offline Body Movement Counting SDK
Body Movement Counting and Feedback
Offline Body Landmarks
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