MM-IMDb: Movie Posters and Synopses for Genre Classification

MM-IMDb combines visual and textual data for movies, likely sourced from IMDb. The dataset is designed for multi-label genre classification tasks. Its author, organization, and exact size are unknown.

Use Cases

• Multi-label genre classification based on movie posters.
• Multi-label genre classification based on textual synopses.
• Multimodal fusion experiments combining image and text features for classification.
• Benchmarking vision-language models on a movie-related task.

Strengths

• Dataset is multimodal, pairing images (posters) with text (synopses).
• Explicitly designed for multi-label classification, a common real-world ML task.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Likely sourced from IMDb, given the dataset name.