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Dataset Labels
['boots', 'gloves', 'helmet', 'helmet on', 'no boots', 'no glove', 'no helmet', 'no vest', 'person', 'vest']
Number of Images
{'valid': 214, 'test': 105, 'train': 936}
How to Use
- Install datasets:
pip install datasets
- Load the dataset:
from datasets import load_dataset
ds = load_dataset("neogpx/constructionk8mm", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/individual-w6nyy/testing-roboflow-k8mml/dataset/1
Citation
@misc{
testing-roboflow-k8mml_dataset,
title = { Testing roboflow Dataset },
type = { Open Source Dataset },
author = { individual },
howpublished = { \\url{ https://universe.roboflow.com/individual-w6nyy/testing-roboflow-k8mml } },
url = { https://universe.roboflow.com/individual-w6nyy/testing-roboflow-k8mml },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { aug },
note = { visited on 2025-02-11 },
}
License
MIT
Dataset Summary
This dataset was exported via roboflow.com on August 10, 2024 at 2:43 PM GMT
Roboflow is an end-to-end computer vision platform that helps you
- collaborate with your team on computer vision projects
- collect & organize images
- understand and search unstructured image data
- annotate, and create datasets
- export, train, and deploy computer vision models
- use active learning to improve your dataset over time
For state of the art Computer Vision training notebooks you can use with this dataset, visit https://github.com/roboflow/notebooks
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
The dataset includes 1255 images. Test are annotated in COCO format.
The following pre-processing was applied to each image:
- Auto-orientation of pixel data (with EXIF-orientation stripping)
- Resize to 640x640 (Stretch)
The following augmentation was applied to create 3 versions of each source image:
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