Hard Hat Workers Computer Vision Project
Updated a month ago
Overview
The Hard Hat
dataset is an object detection dataset of workers in workplace settings that require a hard hat. Annotations also include examples of just "person" and "head," for when an individual may be present without a hard hart.
The original dataset has a 75/25 train-test split.
Example Image:
Use Cases
One could use this dataset to, for example, build a classifier of workers that are abiding safety code within a workplace versus those that may not be. It is also a good general dataset for practice.
Using this Dataset
Use the fork
or Download this Dataset
button to copy this dataset to your own Roboflow account and export it with new preprocessing settings (perhaps resized for your model's desired format or converted to grayscale), or additional augmentations to make your model generalize better. This particular dataset would be very well suited for Roboflow's new advanced Bounding Box Only Augmentations.
Dataset Versions:
Image Preprocessing | Image Augmentation | Modify Classes
v1
(resize-416x416-reflect): generated with the original 75/25 train-test split | No augmentationsv2
(raw_75-25_trainTestSplit): generated with the original 75/25 train-test split | These are the raw, original imagesv3
(v3): generated with the original 75/25 train-test split | Modify Classes used to dropperson
class | Preprocessing and Augmentation appliedv5
(raw_HeadHelmetClasses): generated with a 70/20/10 train/valid/test split | Modify Classes used to dropperson
classv8
(raw_HelmetClassOnly): generated with a 70/20/10 train/valid/test split | Modify Classes used to drophead
andperson
classesv9
(raw_PersonClassOnly): generated with a 70/20/10 train/valid/test split | Modify Classes used to drophead
andhelmet
classesv10
(raw_AllClasses): generated with a 70/20/10 train/valid/test split | These are the raw, original imagesv11
(augmented3x-AllClasses-FastModel): generated with a 70/20/10 train/valid/test split | Preprocessing and Augmentation applied | 3x image generation | Trained with Roboflow's Fast Modelv12
(augmented3x-HeadHelmetClasses-FastModel): generated with a 70/20/10 train/valid/test split | Preprocessing and Augmentation applied, Modify Classes used to dropperson
class | 3x image generation | Trained with Roboflow's Fast Modelv13
(augmented3x-HeadHelmetClasses-AccurateModel): generated with a 70/20/10 train/valid/test split | Preprocessing and Augmentation applied, Modify Classes used to dropperson
class | 3x image generation | Trained with Roboflow's Accurate Modelv14
(raw_HeadClassOnly): generated with a 70/20/10 train/valid/test split | Modify Classes used to dropperson
class, and remap/relabelhelmet
class tohead
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
hard-hat-workers-u0igs_dataset,
title = { Hard Hat Workers Dataset },
type = { Open Source Dataset },
author = { Northeastern University - China },
howpublished = { \url{ https://universe.roboflow.com/ppe-pnqgr/hard-hat-workers-u0igs } },
url = { https://universe.roboflow.com/ppe-pnqgr/hard-hat-workers-u0igs },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { nov },
note = { visited on 2024-12-23 },
}