sargishunanyan/thermo-classification

Dataset Labels

['Thermostat', 'Housing', 'Insert']

Number of Images

{'valid': 102, 'test': 52, 'train': 372}

How to Use

• Install datasets:

pip install datasets

• Load the dataset:

from datasets import load_dataset

ds = load_dataset("sargishunanyan/thermo-classification", name="full")
example = ds['train'][0]

Roboflow Dataset Page

https://universe.roboflow.com/yolo-po0ro/proj-2-qmdk0/dataset/3

Citation

@misc{ proj-2-qmdk0_dataset,
    title = { proj 2 Dataset },
    type = { Open Source Dataset },
    author = { Yolo },
    howpublished = { \\url{ https://universe.roboflow.com/yolo-po0ro/proj-2-qmdk0 } },
    url = { https://universe.roboflow.com/yolo-po0ro/proj-2-qmdk0 },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { oct },
    note = { visited on 2023-10-18 },
}

License

CC BY 4.0

Dataset Summary

This dataset was exported via roboflow.com on October 8, 2023 at 7:58 AM 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 526 images. Car-parts are annotated in folder format.

The following pre-processing was applied to each image:

No image augmentation techniques were applied.