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BigDetection

Introduced by Likun Cai et al. in BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training24 Mar 2022 archive 2025-07-28

BigDetection is a new large-scale benchmark to build more general and powerful object detection systems. It leverages the training data from existing datasets (LVIS, OpenImages and Object365) with carefully designed principles, and curate a larger dataset for improved detector pre-training. BigDetection dataset has 600 object categories and contains 3.4M training images with 36M object bounding boxes.

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 BigDetection val Cascade R-CNN (R50-FPN) AP 24.1 BigDetection: A Large-scale Benchmark for Improved... amazon-science/bigdetection +1 6 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 7. 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
BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training 2 6 24 Mar 2022 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

Custom

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • BigDetection
  • BigDetection val

2 variant names, as the archive lists them.

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