MobileMold: Smartphone-Based Microscopy Images for Food Mold Detection

4,941 annotated images for food mold detection, captured using smartphones with clip-on microscope attachments. The dataset was created by nphamdinh and was last updated on April 14, 2026.

Use Cases

• Train image classification models for mold detection based on smartphone-microscope images.
• Develop mobile applications for on-site food safety inspection based on the accessible imaging method.
• Benchmark lightweight vision models for resource-constrained environments based on the dataset's capture method.

Strengths

• 4,941 annotated images provide a substantial base for model training.
• Images are captured using accessible, low-cost smartphone-microscope setups, reflecting a practical data collection method.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset's specific geographic and temporal coverage is not described, which may indicate bias.

Provenance

Source

huggingface user nphamdinh

Collection Method

Images captured using smartphones with various clip-on microscope attachments.

Time Range

null

Freshness

Last updated 2026-04-14 09:12:34; freshness should be verified.

Geography

null