---
license: bsd-3-clause
tags:
  - visual-anomaly-detection
  - edge-impulse
  - spark-plugs
  - computer-vision
  - predictive-maintenance
pretty_name: Spark Plug Anomaly Detection
task_categories:
  - image-classification
task_ids:
  - multi-class-image-classification
language:
  - en
---

# Spark Plug Anomaly Detection

Images of spark plugs for use in visual anomaly detection with Edge Impulse’s FOMO-AD learning block. The model is trained only on `normal` samples and flags any deviation as an anomaly.

- Input: Images (96x96)
- Classes: `normal` (train/test), `anomaly` (test only)
- Use case: Embedded anomaly detection in predictive maintenance

Model trained and demonstrated on [Edge Impulse](https://studio.edgeimpulse.com/public/781690/live).

**Looking for multi-class condition labels?**  
See the companion dataset: [Spark Plug Condition Classification](https://huggingface.co/datasets/eoinedge/spark-plug-classification)