Datasets:
metadata
language:
- en
- pl
license: cc-by-4.0
size_categories:
- 1K<n<10K
task_categories:
- image-classification
pretty_name: Pompax Equipment Classification
tags:
- industrial
- manufacturing
- nameplate
- classification
- computer-vision
- Polish
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: valid
path: data/valid-*
- split: test
path: data/test-*
dataset_info:
features:
- name: image_id
dtype: int32
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Unlabeled
'1': inne
'2': tabliczka-znamionowa
splits:
- name: train
num_bytes: 71193519.874
num_examples: 2502
- name: valid
num_bytes: 1171798
num_examples: 34
- name: test
num_bytes: 7564083
num_examples: 236
download_size: 78873452
dataset_size: 79929400.874
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.