UCF-CC-50 Dataset - Papers With Code

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× Dataset name:* Full name (optional): Description (Markdown and $\LaTeX$ enabled):* **UCF-CC-50** is a dataset for crowd counting and consists of images of extremely dense crowds. It has 50 images with 63,974 head center annotations in total. The head counts range between 94 and 4,543 per image. The small dataset size and large variance make this a very challenging counting dataset. Source: [Active Crowd Counting with Limited Supervision](https://arxiv.org/abs/2007.06334) Homepage URL (optional): Paper where the dataset was introduced: --------- Multi-source Multi-scale Counting in Extremely Dense Crowd Images Introduction date: Dataset license: URL to full license terms: Image Currently datasets/UCF_CC_50-0000003602-efa11993.jpg Clear Change --- Save

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× Add or remove tasks: Crowd Counting Density Estimation Human Detection

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× Paper title:* --------- Dataset or its variant:* --------- UCF-CC-50 Task:* --------- Model name:* Metric name:* --------- Higher is better (for the metric) Metric value:* Uses extra training data Data evaluated on Submit Images Edit UCF-CC-50 Introduced by Idrees et al. in Multi-source Multi-scale Counting in Extremely Dense Crowd Images

UCF-CC-50 is a dataset for crowd counting and consists of images of extremely dense crowds. It has 50 images with 63,974 head center annotations in total. The head counts range between 94 and 4,543 per image. The small dataset size and large variance make this a very challenging counting dataset.

Source: Active Crowd Counting with Limited Supervision Homepage

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• Density Estimation
• Crowd Counting
• Human Detection

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