Datasets › JHU-CROWD++
JHU-CROWD++
JHU-CROWD++ is A large-scale unconstrained crowd counting dataset with 4,372 images and 1.51 million annotations. This dataset is collected under a variety of diverse scenarios and environmental conditions. In addition, the dataset provides comparatively richer set of annotations like dots, approximate bounding boxes, blur levels, etc.
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) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Crowd Counting | JHU-CROWD++ | EffCC-Lite0.5 MAE 77.24 | Improved Knowledge Distillation for Crowd Counting on IoT Device | huangzuo/effcc_distilled | 3 | Compare |
Papers archive 2025-07-28
3 shown of 3 papers 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 48. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance | 1 | 1 | 17 May 2024 | not harvested |
| Improved Knowledge Distillation for Crowd Counting on IoT Device | 1 | 1 | 2 Aug 2023 | not harvested |
| Rethinking Spatial Invariance of Convolutional Networks for Object Counting | 1 | 1 | 10 Jun 2022 | 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
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- JHU-CROWD++
1 variant name, as the archive lists them.
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