moviefeats_visual / README.md
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metadata
license: gpl-3.0
task_categories:
  - feature-extraction
  - image-classification
  - video-classification
  - image-feature-extraction
language:
  - en
pretty_name: MovieFeats_Visual
size_categories:
  - n>100G

🎬 SceneSense Dataset

The dataset contains visual features obtained from a wide range of movies (full-length), their shots, and free trailers. It can be used in recommendation, information retrieval, classification, etc. You can read more about it on the GitHub repository.

πŸ“ƒ Table of Content

πŸ“Š Dataset Stats

You can find below the stats and characteristics of the dataset:

Aspect Value
Total Number of Movies: 274
Average Frames per Movie: 7,732
Total Number of Frames/Feature Vectors: 2,118,647

Also, the stats when combined with MovieLenz 25M (link) are listed below:

Aspect Value
Accumulative # of Genres: 723
Average Movie Ratings: 3.88/5
Total # of Users: 158,146
Accumulative # of Interactions: 2,869,024

In terms of the model-based characteristics of the datase:

Data Model Total Files Size on Disk
Full Movies incp3 84,872 35.8 GB
Full Movies vgg19 84,872 46.1 GB
Movie Shots incp3 16,713 7.01 GB
Movie Shots vgg19 24,598 13.3 GB
Trailers incp3 1,725 681 MB
Trailers vgg19 1,725 885 MB
Total - 214,505 ~103.8 GB