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UCF-QNRF

Introduced by Haroon Idrees et al. in Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds1 Jan 2018 archive 2025-07-28

The UCF-QNRF dataset is a crowd counting dataset and it contains large diversity both in scenes, as well as in background types. It consists of 1535 images high-resolution images from Flickr, Web Search and Hajj footage. The number of people (i.e., the count) varies from 50 to 12,000 across images.

Source: Understanding the impact of mistakes on background regions in crowd counting Image Source: https://www.crcv.ucf.edu/data/ucf-qnrf/

HomepageBenchmarksPapers JSON

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
Crowd Counting UCF-QNRF EBC-ZIP-B MAE 69.46 EBC-ZIP: Improving Blockwise Crowd Counting with... yiming-m/ebc-zip 23 Compare

Papers archive 2025-07-28

17 shown of 17 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 176. 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
EBC-ZIP: Improving Blockwise Crowd Counting with Zero-Inflated Poisson Regression 1 1 24 Jun 2025 not harvested
Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance 1 1 17 May 2024 not harvested
Crowd Counting and Individual Localization Using Pseudo Square Label 0 1 13 May 2024 not harvested
CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification 1 6 14 Mar 2024 not harvested
Rethinking Spatial Invariance of Convolutional Networks for Object Counting 1 1 10 Jun 2022 not harvested
Distribution Matching for Crowd Counting 1 1 28 Sep 2020 ran 4 of 5 samples (1 unverified)
Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting 2 1 12 Mar 2020 not harvested
Crowd Counting via Segmentation Guided Attention Networks and Curriculum Loss 1 2 18 Nov 2019 not harvested
Context-Aware Crowd Counting 3 1 26 Nov 2018 ran 1 of 2 samples (1 unverified)
Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds 0 1 2 Aug 2018 not harvested
Switching Convolutional Neural Network for Crowd Counting 1 1 1 Aug 2017 not harvested
CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting 1 1 30 Jul 2017 not harvested
Densely Connected Convolutional Networks 146 1 25 Aug 2016 ran 18 of 71 samples (53 unverified; 7 pointer-only for licence)
Single-Image Crowd Counting via Multi-Column Convolutional Neural Network 4 1 1 Jan 2016 not harvested
Deep Residual Learning for Image Recognition 484 1 10 Dec 2015 ran 230 of 377 samples (147 unverified; 187 pointer-only for licence)
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation 74 1 2 Nov 2015 ran 9 of 44 samples (35 unverified; 10 pointer-only for licence)
Multi-source Multi-scale Counting in Extremely Dense Crowd Images 0 1 1 Jun 2013 not harvested

Dataset loaders archive 2025-07-28

osmr/imgclsmobpytorch

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

Tasks archive 2025-07-28

Crowd Counting

License archive 2025-07-28

Unknown

Modalities archive 2025-07-28

Images

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • UCF-QNRF

1 variant name, as the archive lists them.

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