Visual Inspection Image Dataset for Food Service Environments

This dataset is designed to support Visual-Language Models (VLMs) in performing intelligent inspection tasks within food service environments. It includes high-resolution RGB images from a wide range of real-world scenes such as self-service restaurants, commercial kitchens, and open vendor areas, reflecting operational diversity and visual complexity.

The image content enables detailed assessment of restaurant cleanliness, waste accumulation, employee attire and behavior compliance, product stock status and display layout, as well as detection of open flame risks and fire extinguisher availability. These elements are crucial for training multimodal models in regulatory compliance and safety monitoring tasks.

Annotations are structured for multimodal recognition, visual question answering (VQA), and automated risk detection, with labels covering semantic categories like hygiene level, employee dress code, shelf restocking condition (full/empty), and safety signals. This dataset is particularly suitable for developing intelligent inspection agents in commercial dining contexts.

Data was captured under varied lighting and operational conditions, including busy meal times, closedown periods, and intermediate restocking phases. These variations enhance the dataset’s value in training robust, real-world deployable models.

This dataset plays a critical role in advancing applications such as AI-powered multimodal inspection systems, automated hygiene and safety monitoring, food shelf stock analysis, and industry-grade visual QA tools for the food service sector.

This dataset contains over 20,000 high-quality annotated images. The estimated price is approximately €8,000, and can be adjusted based on delivery format, licensing scope, and customization requirements.

Keywords: foodinspection hygiene staffbehavior firehazard restocking vlm

Sector: Food Service Automation, Smart Surveillance, Multimodal AI, Safety Compliance

Metrics: Cleanliness Detection Accuracy, VQA Precision, Safety Feature Recall

Entities: Staff, Trash Zones, Safety Equipment, Food Display Areas

Price Range (USD): 4000–20000

Source type: Synthetic data generation

Sample Images: