Flickr8k Image Caption Generator (ResNet50 Spatial + Bahdanau Attention + LSTM)

This repo contains an attention-based captioning model trained on Flickr8k.

Architecture

  • Encoder: ResNet50 backbone feature map (2048x7x7), cached
  • Projected encoder dim: 512
  • Attention: Bahdanau (additive) over 49 spatial locations
  • Decoder: LSTMCell + greedy decoding
  • Vocab: train-only, min_freq=2, max_len=20

Test Metrics (Flickr8k)

  • BLEU-1: 0.5895
  • BLEU-2: 0.4030
  • BLEU-3: 0.2651
  • BLEU-4: 0.1820
  • ROUGE-L(F1): 0.4597
  • METEOR: 0.4033

Files

  • best_model_attn.pt
  • vocab.json
  • test_metrics_attn.json
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support