LogitAtlasKyoto street scenes (semantic segmentation)
Kyoto Vision Labs: file storage, git and docs & wiki (1.5 years)
Data mix
approximate, based on what's included- Documents
- Code
120K rowsVolume
1.5 years (2024–2026)Time span
Computer Vision · 11–50 employeesCompany profile
Ready nowAvailability
Company archive in Computer Vision
Kyoto Vision Labs · 11–50 employees · 1.5 years · 120K rows
K
Listed by Kyoto Vision Labs
Verified through Stripe Connect. Based in Japan.
Full inventory ready
The owner has shared a file-level inventory, so we can send you the schema and samples quickly.
De-identified before delivery
De-identified before listing
Owner-approved licence
The owner signs off on each buyer, scope and term in writing.
120,000 annotated street-level frames with 32-class semantic labels for autonomous perception.
Dense semantic masks, instance segmentation, 2D/3D boxes, and weather metadata on 120,000 night and day frames.
What this corpus offers
- 120,000 rows captured over 2 years
- Google Drive export with full history and metadata
- GitHub export with full history and metadata
- Notion export with full history and metadata
- Consistent identifiers so sources can be joined
Stack
- Google Drive
- GitHub
- Notion
Good for
Entity extractionRAG evaluationLong-context reasoning
The details
SectorComputer Vision
Team size11–50 employees
OriginFirst-party company records
FormatsDocuments (PDF, DOCX), Git repositories, Documents (Markdown, PDF)
DeliveryFile transfer
LanguagesJapanese, English
Label typesTicket categories and resolution codes
Personal dataHigh
De-identificationDe-identified before listing
RightsOwner-held
Still growingNo
SampleOn request
RegionEast Asia · Japan
ReferenceDM-QEBLI8
Tags
segmentationautonomyannotated