kahua-ml/pompax-classification

Pompax Equipment Classification Dataset

Dataset Description

This dataset contains 2,772 images for industrial equipment nameplate classification. The task is to classify whether an image contains an industrial nameplate ("tabliczka-znamionowa" in Polish) or not.

Dataset Summary

• Total Images: 2,772
• Task: Binary classification (nameplate vs non-nameplate)
• Classes: 3 categories
  • tabliczka-znamionowa (nameplate): 2,525 images (91.1%)
  • inne (other/non-nameplate): 240 images (8.7%)
  • Unlabeled: 7 images (0.3%)

Data Splits

Split	Examples
Train	2,502
Valid	34
Test	236

Use Cases

• Industrial equipment identification
• Nameplate detection in manufacturing environments
• Computer vision research for industrial applications
• Quality control automation

Dataset Structure

from datasets import load_dataset

dataset = load_dataset("kahua-ml/pompax-classification")

# Example usage
example = dataset["train"][0]
print(f"Image: {example['image']}")
print(f"Label: {example['label']}")

Citation

@misc{
    pompax_class_dataset,
    title = { Pompax_class Dataset },
    type = { Open Source Dataset },
    author = { Mevaco },
    howpublished = { \url{ https://universe.roboflow.com/mevaco/pompax_class } },
    url = { https://universe.roboflow.com/mevaco/pompax_class },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2024 },
    month = { sep },
    note = { visited on 2025-01-25 },
}

License

This dataset is released under the CC BY 4.0 license.

Original Source

Originally published on Roboflow Universe by Mevaco.