The ARC-100 dataset was collected as part of a prototype retail checkout system titled ARC (Automatic Retail Checkout). It consists of 31,000 $640\times480$ RGB images of 100 commonly found retail items in Lahore, Pakistan. Each retail item has 310 images captured at various logical orientations (on a black, matte finish conveyor belt) by a Logitech C310 webcam, under a wooden hood frame illuminated by LED strips (luminance set to approximately $70lx$). In the proposed setup, images were pre-processed and standardized before feeding into a Convolutional Neural Network for identification.
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