Datasets › Caltech Cars

Caltech Cars

1 Jan 2000 archive 2025-07-28

The Caltech Cars dataset consists of 126 rear-view photographs captured within parking lots. These images possess a resolution of 896 × 592 pixels, featuring a solitary vehicle as the primary subject. The acquisitions were made during daylight hours employing a handheld camera at roughly equivalent distances for all instances.

"The dataset was presented in a PhD thesis titled 'Unsupervised learning of models for object recognition.'"

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
License Plate Recognition Caltech Cars YOLOv2 + Fast-YOLOv2 + CR-NET Rank-1 Recognition Rate 98.7 An Efficient and Layout-Independent Automatic License... brightyoun/TITS-LPST 1 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 2. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector 1 1 4 Sep 2019 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Research Only

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • Caltech Cars

1 variant name, as the archive lists them.

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