Image Captioning using Attention Mechanism with BLEU Score evaluation

Implemeted the Encoder-Decoder mechanism of Image Captioning using Attention Mechnism. The model was trained on the Flickr8k dataset.

• The encoder model uses InceptionV3 as base model to extract features from the images.
• The attention part links up the extracted features with the captions of the image.
• Decoder is implemented using GRU.
• Model training checkpoints can be found here.

The model obtained an average BLEU score of 0.561036 on the validation data of 7000 captions.

• Developed by Nazish Khan