Data · dataset · 2025
InaTRC: Indonesia Toll Road Vehicle Classification Dataset
Listed in Teesside University Research Data Repository
InaTRC is an annotated CCTV image dataset developed for vehicle classification on Indonesian toll roads.
Description
The dataset is designed based on the vehicle classification system used in Indonesia’s toll tariff regulations, which categorizes vehicles into five classes as follows: Class-1: Non-truck vehicles, including sedans, pick-ups, minibusses, buses, MPVs, and SUVs. Class-2: Trucks with two axles.
Class-3: Trucks with three axles. Class-4: Trucks with four axles. Class-5: Trucks with five or more axles.
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The dataset contains a total of 3,250 images, which were collected from March 2022 to October 2022. These images are divided into three subsets using an 80:10:10 ratio, resulting in 2,600 images for training, 325 images for validation, and 325 images for testing. All annotations are provided in the YOLO format, where each label file contains the object class ID and normalized bounding box coordinates in the format: <class_id> <x_center> <y_center> <width> <height>
Links
Where it is published
- DOI doi.org/10.17632/kddgphck3b.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/kddgphck3b.1 | 12 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 |