Open janerikhy opened 3 years ago
The ML-model will be created with TensorFlow due to payment requirements from Google Vision API. However, if decided to go back to Google API, Vertex API should be used.
With the limited timespan of this project, it is probably best to only develop the classification algorithm and let the object detection part be a topic of further work.
What?
Currently, there is only implemented a jS script that tells what the image contains on loading. It is desirable to have object detection and categorization to work as the user uploads an image.
How?
Make use of the Google Vision API to train a model. The model will be imported and used in observations/utils.py. Must probably alter the ObservationTest class, as it of now does not contain any species column in the database.