MIT-Princeton APC 2016 Shelf and Tote benchmark

From the catalogue. Listed by one researcher from one source page.

• id: mit-princeton-apc-2016-shelf-and-tote-benchmark
• kind: other
• robot or device: Intel RealSense F200 RGB-D, shelf bins and totes (class: sensor only)
• how collected: robot-mounted capture, manual annotation
• size as stated: 7,281 images with 6D poses and segmentation
• hours: not stated | hours only claimed: none | episodes: not stated
• year: 2016
• organisation: MIT, Princeton
• licence: not stated (class: not stated)
• access: open (class: open)
• link (dataset): https://apc.cs.princeton.edu/
• note: Amazon Picking Challenge perception data.

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