AlonLahav / dl_course_iWildCam

Solution For kaggle challange for iWildCam 2019

dl_course_iWildCam

Solution For kaggle challange for iWildCam 2019

Already done:

• Used TF example
• Dataset was downloaded and extracted
• Trained over this dataset
• Used it on our data (inference then train / fine-tune)
• Split to train / validate
• Used spacial feature extraction
• Evaluate on train / validate / test set
• Submission with dummy file, just to check the format
• Submit to Kaggl

ToDo

Data

Go to Kaggle page. Download iwildcam-2019-fgvc6.zip file (46.6G).

Installations

Using TensorFlow 2.1, and tensorflow_hub. Other pakedges:

• seaborn
• matplotlib

Notes about TensorFlow Hub

TF hub page: link.

Train

python train_val.py

Test

Change the run variable to the current run folder.

Set dataset to the desired one.

The results (CSV file, for submition) should be at the run folder.

python evaluate.py

Submit to Kaggle

Go to submission page at Kaggle and drop the CSV file.