Dataset Labels

['ct', 'cthead', 't', 'thead']

Number of Images

{'train': 3879, 'valid': 383, 'test': 192}

How to Use

• Install datasets :

pip install datasets

• Load the dataset:

from datasets import load_dataset

ds = load_dataset("keremberke/csgo-object-detection", name="full")
example = ds['train'][0]

Roboflow Dataset Page

https://universe.roboflow.com/asd-culfr/wlots/dataset/1

Citation

@misc{ wlots_dataset,
    title = { wlots Dataset },
    type = { Open Source Dataset },
    author = { asd },
    howpublished = { \\url{ https://universe.roboflow.com/asd-culfr/wlots } },
    url = { https://universe.roboflow.com/asd-culfr/wlots },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { may },
    note = { visited on 2023-01-27 },
}

License

CC BY 4.0

Dataset Summary

This dataset was exported via roboflow.com on December 28, 2022 at 8:08 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 unstructured image data
• annotate, and create datasets
• export, train, and deploy computer vision models
• use active learning to improve your dataset over time

It includes 4454 images. Ct-cthead-t-thead 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 416x416 (Fill (with center crop))

The following augmentation was applied to create 3 versions of each source image:

• Random brigthness adjustment of between -15 and +15 percent