Datasets:
Tasks:
Object Detection
Size:
1K - 10K
task_categories: | |
- object-detection | |
tags: | |
- roboflow | |
- roboflow2huggingface | |
<div align="center"> | |
<img width="640" alt="keremberke/csgo-object-detection" src="https://huggingface.co/datasets/keremberke/csgo-object-detection/resolve/main/thumbnail.jpg"> | |
</div> | |
### Dataset Labels | |
``` | |
['ct', 'cthead', 't', 'thead'] | |
``` | |
### Number of Images | |
```json | |
{'train': 3879, 'valid': 383, 'test': 192} | |
``` | |
### How to Use | |
- Install [datasets](https://pypi.org/project/datasets/): | |
```bash | |
pip install datasets | |
``` | |
- Load the dataset: | |
```python | |
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](https://universe.roboflow.com/asd-culfr/wlots/dataset/1?ref=roboflow2huggingface) | |
### 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 | |