vonholst/SSDMobileNet_CoreML
Real-time object-detection using SSD on Mobilenet on iOS using CoreML, exported using tf-coreml
This helps iOS app developers integrate real-time object detection directly into their mobile applications. It takes live camera feed or image data as input and outputs identified objects with their locations in the frame. Developers building iOS apps that need to recognize things in images or video streams would find this useful.
145 stars. No commits in the last 6 months.
Use this if you are an iOS developer looking to add fast, on-device object detection capabilities to your mobile application without relying on cloud services.
Not ideal if you need to perform object detection on non-iOS platforms or require highly customized, complex deep learning models not suitable for mobile optimization.
Stars
145
Forks
30
Language
Swift
License
MIT
Category
Last pushed
Jan 09, 2019
Commits (30d)
0
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