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USB (Universal-Scale Object Detection Benchmark)

Introduced by Yosuke Shinya in USB: Universal-Scale Object Detection Benchmark25 Mar 2021 archive 2025-07-28

The Universal-Scale object detection Benchmark (USB) is a benchmark for object detection that has variations in object scales and image domains by incorporating COCO with the recently proposed Waymo Open Dataset and Manga109-s dataset. To enable fair comparison, USB establishes different protocols by defining multiple thresholds for training epochs and evaluation image resolutions.

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
Object Detection USB (Standard USB 1.0 protocol) UniverseNet-20.08 mCAP 52.1 USB: Universal-Scale Object Detection Benchmark shinya7y/UniverseNet 13 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 1. 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
USB: Universal-Scale Object Detection Benchmark 1 13 25 Mar 2021 not harvested

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

Multiple licenses

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • USB
  • USB (Standard USB 1.0 protocol)

2 variant names, as the archive lists them.

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