| # Saved Features for Algonauts '25 Dataset | |
| This repository contains pre-extracted features for the Algonauts Challenge dataset using baseline models. | |
| ## Features Overview | |
| The `developer_kit` directory contains features extracted for the entire dataset using the following models: | |
| ### Video Features | |
| - Model: SlowFast R50 | |
| - Extracts spatiotemporal features from video frames | |
| - Captures motion and appearance information | |
| ### Audio Features | |
| - Model: MFCC (Mel-frequency cepstral coefficients) | |
| - Standard acoustic features representing the short-term power spectrum | |
| - Captures key audio characteristics | |
| ### Language Features | |
| - Model: BERT (Bidirectional Encoder Representations from Transformers) | |
| - Contextual word embeddings from text descriptions | |
| - Encodes semantic meaning of language | |