Datasets › Shelf&Tote Training Dataset

Shelf&Tote Training Dataset (MIT-Princeton Amazon Picking Challenge 2016 Shelf&Tote Training Dataset)

Introduced by Andy Zeng et al. in Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge29 Sep 2016 archive 2025-07-28

The archive carries no description for this dataset.

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
Unsupervised Object Segmentation Shelf&Tote Training Dataset GENESIS-V2 ARI 0.55 GENESIS-V2: Inferring Unordered Object Representations... applied-ai-lab/genesis +1 4 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
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement 2 4 20 Apr 2021 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • Shelf&Tote Training Dataset

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections