Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Sub-tasks:
multi-class-image-classification
Languages:
English
Size:
< 1K
Tags:
image-classification
spark-plugs
edge-impulse
automotive
predictive-maintenance
computer-vision
License:
File size: 996 Bytes
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---
license: bsd-3-clause
tags:
- image-classification
- spark-plugs
- edge-impulse
- automotive
- predictive-maintenance
- computer-vision
pretty_name: Spark Plug Condition Classification
task_categories:
- image-classification
task_ids:
- multi-class-image-classification
language:
- en
---
# Spark Plug Condition Classification
Labeled images of spark plugs for training a multi-class visual classifier. Includes four categories:
- `normal`
- `carbon_fouled`
- `oil_fouled`
- `mechanical_damage`
Optimized for use in Edge Impulse with the Transfer Learning (MobileNetV2) block.
- Input: Images (96x96)
- Task: Multi-class classification
- Use case: Visual diagnostics and condition monitoring
Model trained and demonstrated on [Edge Impulse](https://studio.edgeimpulse.com/public/839276/live).
**Looking for anomaly detection?**
See the companion dataset: [Spark Plug Anomaly Detection](https://huggingface.co/datasets/eoinedge/spark-plug-anomaly-detection)
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