Datasets › Virtual-Pedcross-4667

Virtual-Pedcross-4667

Introduced by Jie Bai et al. in Deep Virtual-to-Real Distillation for Pedestrian Crossing Prediction2 Nov 2022 archive 2025-07-28

Virtual-PedCross-4667 is a dataset for pedestrian crossing prediction. It consists of 4667 video sequences, 2862 pedestrian crossing sequences and 1804 not-crossing sequences. Totally, 745k video frames with the resolution of 1280×720 are saved.

Source: Deep Virtual-to-Real Distillation for Pedestrian Crossing Prediction

Image Source: https://arxiv.org/pdf/2211.00856v1.pdf

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

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

  • Virtual-Pedcross-4667

1 variant name, as the archive lists them.

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