Species recognition ML algorithm

[lfvperes]

After the Scraper successfully stores several images, irrelevant ones should be excluded. In this case, pictures that do not portray a jaguar but were included in the search results, for example, should be removed. For that to be achieved, there must be a ML tool, here called Vision that recognizes or distinguish a jaguar a in a picture. There are several APIs and NN models avaliable to be researched and tested, such as the MS AI For Earth Species Recognition API.

This is part of processing and "cleaning" the "database". This method must be implemented after the duplicates have been removed, thus reducing the amount of data the NN will receive.

REMINDER:
Study about Azure's resources on MS Computer Vision API and topics alike. there might be a very useful tool.
This link shows how an image can be analyzed from a URL. MS Computer Vision API allows 5000 free transactions per Month.

• More on MS Computer Vision API

Implementing a method to identify the jaguar

• Test MS AI For Earth Species Recognition API
• Find other similar tools
• Test existing models
• Check for viability in building a new model
• Compare alternatives

Chosen tool: MS Computer Vision API (Cognitive Services)

Using Microsoft Computer Vision API