Notes about the data:
We did not use some tiles from the following full images because they included California Sea Lions in addition to Northern Elephant Seals:
4MSL0107
, 4MSL0118
, 4MSL0089
, 4MSL0093
, 4MSL0094
, 4MSL0095
, 5MSL0009
, 5MSL0010
, 5MSL0011
, 5MSL0012
, 5MSL0013
, 5MSL0014
, 5MSL0048
, 5MSL0067
, 5MSL0068
, 5MSL0084
, 5MSL0085
, 5MSL3902
, and 5MSL3903
.
To reproduce our work...
- start up a docker container using the
Dockerfile
in this repo. - tile the 230 images found in
Data/Full_Images
usingCode/tile_images.ipynb
- label tiled images using Roboflow
- train the model and evaluate it on the test set using
Code/run_model.ipynb
- examine model errors using
Code/NOTEBOOK
Our final model weights are available here.