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