medarc/AlgonautsDS-features
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… See the full description on the dataset page: https://huggingface.co/datasets/medarc/AlgonautsDS-features.
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
