eoinedge/spark-plug-anomaly-detection
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. Looking for multi-class condition labels?See the companion dataset: Spark Plug… See the full description on the dataset page: https://huggingface.co/datasets/eoinedge/spark-plug-anomaly-detection.
| Author / organization | eoinedge |
|---|---|
| License (as declared) | bsd-3-clause |
| Downloads | 369 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 27 November 2025 |
| Last updated at source | 24 June 2026 |
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