Video Game Box Art Dataset | HD Cover Art & Packshots | Production-Grade, Deduplicated | Computer Vision Data
Overview
Video Game Box Art Dataset | HD Cover Art & Packshots | Production-Grade, Deduplicated | Computer Vision Data is a video and image dataset. Relevant sectors: AI & Machine Learning, Media & Entertainment, Education and Retail & E-commerce. The listing mentions classification labels. Pricing is not published and is provided on request.
What the listing offers
- Listing mentions classification labels.
Most game image collections are messy. The same cover appears five times at different sizes, low-resolution thumbnails sit next to scans, and images are labeled by inconsistent titles that are hard to match to anything. That is fine for a hobby project and a problem in production. The Video Game Box Art Dataset delivers HD cover art and packshots that are deduplicated, consistently organized, and tied to canonical game records. This dataset is part of the VGAMI dataset created by GAMACY. VGAMI COVERAGE - 185,000+ titles - 120+ platforms - 55+ years of gaming, from 1971 to present - 9M+ structured data points across the full VGAMI dataset The data point total spans all VGAMI data products combined. Counts vary by title and by dataset, so ask us for the figures specific to this product. WHAT IT CONTAINS High-resolution box art for game releases in the VGAMI catalog, with metadata linking each image to its game: - Cover art: front cover artwork for physical releases - Packshots: product images of the packaged game, suitable for storefront and listing use - Release-level linking: each image is tied to a specific release by platform and region, and to its canonical game - Deduplication: duplicate and near-duplicate images are removed, so each release carries a clean, single set of images PRODUCTION-GRADE - Consistent organization: images follow one structure and naming scheme across the whole dataset - Clean matching: stable VGAMI identifiers connect every image to catalog, editio
Technical specifications
- Modalities
- Video, Image
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Dataset Size: 1,700 proprietary high-resolution 16-bit images.
- Language
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- Volume
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- Domain
- Retail & E-commerce +2
- Use case
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