Trying some ideas for whale Competition
https://www.kaggle.com/c/humpback-whale-identification
download train & test images from competition
generate - inputGeneratedPerImage folder for generating Ids wise whales..
Subject Ideas for myself
Theory - http://www.alaskahumpbacks.org/matching.html
idea - https://medium.com/@ageitgey/machine-learning-is-fun-part-4-modern-face-recognition-with-deep-learning-c3cffc121d78 ->step2
What I want to do (steps for whale competition) :
Train:
- Segmentation of whale tail find. with fixed size about 200*200(some fixed size)
- then manual annotation on some images with 50 landmark points.. may be on 200 images..
- Create keras model to detect landmark points on other images now...
- generate embedding by these generated landmarks for all Ids..
- Create a model for finding correct Ids by new images
Test : new image -> model -> generate 128 measurements(embedding) -> compare with another model for close to any Ids saved already...