Movie Poster Images and Metadata

Movie Posters is a collection of visual promotional materials for films. The dataset was created by Pinecone and last updated in August 2022. Its size is indicated as containing between 10,000 and 100,000 items, based on platform tags.

Use Cases

• Train image classification models to predict movie genre from poster visual features.
• Analyze color palette and composition trends in poster design over time using image metadata.
• Build a multimodal recommendation system by linking poster images to textual movie descriptions.
• Perform object detection to identify common visual elements like actor faces or logos on posters.

Strengths

• Dataset size is estimated between 10,000 and 100,000 items, providing a substantial image collection.
• Data is stored in Parquet format, which is efficient for structured metadata alongside image references.

Limitations

• Specific column names and the exact number of rows are unknown, hindering precise assessment.
• The dataset's geographic and temporal coverage is unspecified, potentially introducing bias.
• Last update was in 2022, so it may not include recent film releases.

Provenance

Source

Pinecone

Freshness

Last updated August 2022; update frequency is unknown.

Geography

Platform tags suggest a US region focus, but exact coverage is unknown.