Name		Name	Last commit message	Last commit date
.vscode		.vscode
model_tests		model_tests
tests_manual		tests_manual
.gitignore		.gitignore
Image_Query.py		Image_Query.py
README.md		README.md
build_text_embed.py		build_text_embed.py
build_training_db.py		build_training_db.py
get_model_embeddings.py		get_model_embeddings.py
idconversions.py		idconversions.py
image_caption_model.py		image_caption_model.py
prepare_training_arrays.py		prepare_training_arrays.py
resnet_descriptors.py		resnet_descriptors.py
test_human_caption.py		test_human_caption.py
text_embed.py		text_embed.py
train_large.py		train_large.py

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BWSI Week 3 Capstone

Used MSCOCO2014 Dataset, GloVe embeddings, and ResNet18 descriptor vector features to create a reliable text caption to image query system.

Results

Achieves extremely high accuracy on all queries.

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