keremberke/yolov8m-hard-hat-detection
Object Detection
•
Updated
•
4.8k
•
8
Datasets:
Tasks:
Object Detection
Size:
10K - 100K
Search is not available for this dataset
image_id
int64 0
13.8k
| image
imagewidth (px) 640
640
| width
int32 640
640
| height
int32 640
640
| objects
sequence |
|---|---|---|---|---|
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End of preview. Expand
in Dataset Viewer.
Dataset Labels
['hardhat', 'no-hardhat']
Number of Images
{'test': 2001, 'train': 13782, 'valid': 3962}
How to Use
- Install datasets:
pip install datasets
- Load the dataset:
from datasets import load_dataset
ds = load_dataset("keremberke/hard-hat-detection", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/roboflow-universe-projects/hard-hats-fhbh5/dataset/2
Citation
@misc{ hard-hats-fhbh5_dataset,
title = { Hard Hats Dataset },
type = { Open Source Dataset },
author = { Roboflow Universe Projects },
howpublished = { \\url{ https://universe.roboflow.com/roboflow-universe-projects/hard-hats-fhbh5 } },
url = { https://universe.roboflow.com/roboflow-universe-projects/hard-hats-fhbh5 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { dec },
note = { visited on 2023-01-16 },
}
License
CC BY 4.0
Dataset Summary
This dataset was exported via roboflow.com on January 16, 2023 at 9:17 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
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The dataset includes 19745 images. Hardhat-ppe 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)
No image augmentation techniques were applied.
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Size of downloaded dataset files:
1.12 GB
Size of the auto-converted Parquet files:
1.12 GB
Number of rows:
19,754
