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eziodad/Obstacle-Detection-Dataset-YOLO

1,045 downloads in 30 days0 likesLast modified 1 Sep 2026View on Hugging Face

Permissive or share-alike

The declared licence (mit) is classified as permissive.

Declared licence: mit, from the tagEvidence: README.md at 485037f
Licence files: No licence file at the top level of the repositoryEvidence: file list at 485037f
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Tasks

object-detection

Citation text from the card

@article{zandi2026rod,
  title   = {Real-Time Obstacle Detection and Distance Estimation on Smartphones for Visually Impaired and Distracted Pedestrians},
  author  = {Abtin Zandi, Ariyan Azami, Parsa Abbasian, Sarvin Nami, Roza Ganjipour, Bardia Sabbagh Kermani, and Dr. Hamed Farbeh},
  affiliation = {Department of Computer Engineering and Information Technology, Amirkabir University of Technology, Tehran, Iran},
  year    = {2026}
}

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dataset_licence({ "id": "eziodad/Obstacle-Detection-Dataset-YOLO" })
signal: "permissive"
stated_licence: "mit"
sources: 0