VMMRdb: Vehicle Recognition with Make, Model, and Year Labels

VMMRdb contains vehicle imagery labeled by make, model, and year for fine-grained classification tasks. Created by faezetta and last updated in 2020, it supports computer vision research in automated vehicle identification.

Use Cases

• Fine-grained classification using make, model, and year labels
• Training object recognition models to distinguish between similar vehicle models from different years
• Automated traffic analysis for identifying specific vehicle demographics based on make and model

Strengths

• Includes make, model, and year labels for fine-grained classification
• Released under the permissive MIT license

Limitations

• Temporal staleness as the last update was in 2020
• Lack of metadata regarding image resolution or total record count in the source description

Provenance

Source

faezetta (GitHub)

Freshness

Last updated in November 2020; no evidence of ongoing updates.