Caltech Cars
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
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Caltech Cars
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YOLOv2 + Fast-YOLOv2 + CR-NET
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Papers
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