Kaggle FGVC5

This is my submission to Kaggle iMaterialist Challenge at The Fifth Workshop on Fine-Grained Visual Categorization https://www.kaggle.com/c/imaterialist-challenge-furniture-2018/

The submission scored an accuracy of 85.3% compared to 88% accuracy of the top submission and ranked in top 15%.

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
datasets		datasets
deployment		deployment
my_utils		my_utils
nets		nets
preprocessing		preprocessing
scripts		scripts
BUILD		BUILD
Info.txt		Info.txt
README.md		README.md
__init__.py		__init__.py
backup_checkpoints.py		backup_checkpoints.py
convert_flowers.py		convert_flowers.py
convert_furnit.py		convert_furnit.py
convert_furnit_aug_and_test_data.py		convert_furnit_aug_and_test_data.py
convert_furnit_test.py		convert_furnit_test.py
delete_small_images.py		delete_small_images.py
download_and_convert_data.py		download_and_convert_data.py
eval_image_classifier.py		eval_image_classifier.py
evalall_checkpoints.py		evalall_checkpoints.py
export_inference_graph.py		export_inference_graph.py
export_inference_graph_test.py		export_inference_graph_test.py
finetune_inception_resnet_v2_on_furnit.sh		finetune_inception_resnet_v2_on_furnit.sh
finetune_inception_v3_on_furnit.sh		finetune_inception_v3_on_furnit.sh
finetune_pnasnet_on_furni.sh		finetune_pnasnet_on_furni.sh
finetune_resnet_v1_50_on_furnit.sh		finetune_resnet_v1_50_on_furnit.sh
setup.py		setup.py
test_image_classifier.py		test_image_classifier.py
train_image_classifier.py		train_image_classifier.py

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