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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
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