Datasets › VIA

VIA

Introduced by Fabricio Breve et al. in Visually Impaired Aid using Convolutional Neural Networks, Transfer Learning, and Particle Competition and Cooperation archive 2025-07-28

The VIA dataset is a dataset for aiding the visually impaired. The proposed datase1 consists of 342 images divided into two classes: 175 of them are “clear-path” and 167 are “nonclear” path. They were taken using a smartphone camera and resized to 750 × 1000 pixels. The smartphone was placed in the user chest height and inclined approximately 30 to 60 from the ground, so it could capture a few meters of the path ahead, and beyond the reach of a regular white cane

Source: https://arxiv.org/abs/2005.04473

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

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

Tasks archive 2025-07-28

No task tagged in the archive.

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

  • VIA

1 variant name, as the archive lists them.

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