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VINASSESSMENT.COMManage supplier listing
VinAssessment — VIN-keyed salvage-auction training corpus: 46.1M+ Copart and IAAI lots, each joined to its full walkaround photo set (525M+ images, median 11 per lot), a normalised damage class from a ~30-class taxonomy (~44M lots labelled), repair-cost estimate plus pre-loss retail/ACV value on ~4.4M lots, and — the distinctive layer — post-auction outcome linkage on ~561,000 VINs recording whether and when the same car reappeared in a retail listing with asking price, mileage, seller and location. Delivered as CSV/Parquet/JSON/API to the buyer's warehouse.. Highest-volume and most complete …
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VIN-keyed salvage-auction training corpus: 46.1M+ Copart and IAAI lots, each joined to its full walkaround photo set (525M+ images, median 11 per lot), a normalised damage class from a ~30-class taxonomy (~44M lots labelled), repair-cost estimate plus pre-loss retail/ACV value on ~4.4M lots, and — the distinctive layer — post-auction outcome linkage on ~561,000 VINs recording whether and when the same car reappeared in a retail listing with asking price, mileage, seller and location. Delivered as CSV/Parquet/JSON/API to the buyer's warehouse.
From 5 yearsCoverage Financials · Information TechnologyAsset class Equities
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VinAssessment — VIN-keyed salvage-auction training corpus: 46.1M+ Copart and IAAI lots, each joined to its full walkaround photo set (525M+ images, median 11 per lot), a normalised damage class from a ~30-class taxonomy (~44M lots labelled), repair-cost estimate plus pre-loss retail/ACV value on ~4.4M lots, and — the distinctive layer — post-auction outcome linkage on ~561,000 VINs recording whether and when the same car reappeared in a retail listing with asking price, mileage, seller and location. Delivered as CSV/Parquet/JSON/API to the buyer's warehouse.. Highest-volume and most complete …
VinAssessment offers (Alternative, Price, Reference, Sentiment) — 46.1M+ auction lots · 525M+ auction photos · ~44M lots damage-classed · ~4.4M lots with repair estimate + ACV · ~561,000 VINs with a linked retail outcome; within the wider catalogue 342M+ listing records, 46.3M+ registration/ownership records and 2.57B+ vehicle images at 1M+ new listings per day.
Vision model training on damage detection and severity estimation at 525M-image scale; repair-cost and total-loss regression (damage + repair estimate + ACV on 4.4M lots); insurer total-loss threshold decisioning; post-loss value-recovery and rebuilt-vehicle resale studies from the retail-reappearance linkage; parts-recycler and salvage pricing models; fraud/claim-staging detection; EV-subset training of pack damage and salvage-value models once electric makes are filtered
The data is with 5 years of history.
Coverage spans US; Financial Exchanges & Data, Application Software; alternative, price, reference, sentiment; equities.
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