Machine Learning in Java: The Visual Recognition API (JSR381)
summary
Introduces the JSR 381 Visual Recognition API for Java, a standardized set of machine‑learning APIs for image classification and object recognition. Shows concrete implementations and example code using the JSR 381 API and discusses alternative approaches or libraries for visual recognition in Java.
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chapters (17)
- 0:00ML with Java introduction
- 1:27Why ML matters today
- 5:01Visual Recognition use cases
- 8:59Why Java for ML
- 10:45JSR381 explained
- 13:37Visual Recognition API architecture
- 16:26Reference implementations
- 18:18Train model code example
- 22:52Use model code example
- 23:36Spring Boot integration
- 24:39Alternative ML cloud services
- 25:23AWS Rekognition vs others
- 28:58Java with AWS Rekognition
- 30:26PPE detection
- 31:32Summary and conclusion
- 33:00How to contribute
- 36:37Q&A
