Machine Learning and Image Recognition System
Tiger
Overview
The project starts in the interest of exploring options for automated tagging of Library digitised photographic collection. The option focuses cloud APIs solutions among AWS, Google and Microsoft.
Roles
Back end developerWhat We Do
Train the dataset of 5 million images.Compare tag results between supervised tags and cloud APIs generated tags.Understanding and demonstrating the tag results of images.Result
The SLNSW library will extract tagging for 5 million photos faster and with less human supervision.
Technologies
