Data · dataset · 2026
Vehicle Images for Binary Classification of Unsafe Passenger Hanging in Dhaka, Bangladesh
Listed in Teesside University Research Data Repository
This dataset contains 523 images for binary classification of unsafe passenger hanging in buses and legunas in Dhaka, Bangladesh.
Description
Positive means unsafe passenger hanging (251 images); Negative means safe/normal (272 images). These image-level class definitions were confirmed by the project representative during dataset preparation.
The original hierarchy is preserved under Final_Dataset: Bus/Positive (164), Bus/Negative (178), Leguna/positive (87), and Leguna/negative (94). Normalize label capitalization when loading the data. Bus and Leguna identify vehicle groups; the prediction target has two classes.
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There are 404 HEIC, 41 JPEG, and 78 PNG files with variable dimensions. All 523 images passed full decoding checks. Original filenames, formats, folder names, and image bytes are retained.
The file manifest provides image paths, vehicle groups, source labels, sizes, dimensions, and SHA-256 hashes. There are 522 distinct file hashes. Leguna/negative/IMG_3807.HEIC and IMG_3951.HEIC are byte-identical and both retained.
No predefined training, validation, or test split is supplied. Keep duplicates and related capture sequences in the same partition and document preprocessing and split membership. Labels describe whole images; bounding-box annotations are not required for this classification task.
Safe/normal is the assigned class, not a certification of overall transport safety.
Links
Where it is published
- DOI doi.org/10.17632/24n4zpdt69.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Computer Science & AI · Computer vision · Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Image 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/24n4zpdt69.1 | 7 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:460304 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Computer Vision'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |