# 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