task_categories:object-detection roboflow region:us
@misc{ test-y7rj3_dataset,
    title = { test Dataset },
    type = { Open Source Dataset },
    author = { ashish },
    howpublished = { \\url{ https://universe.roboflow.com/ashish-cuamw/test-y7rj3 } },
    url = { https://universe.roboflow.com/ashish-cuamw/test-y7rj3 },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { oct },
    note = { visited on 2022-12-28 },
}
---
task_categories:
- object-detection
tags:
- roboflow
---

### Roboflow Dataset Page
https://universe.roboflow.com/ashish-cuamw/test-y7rj3

### Citation
```
@misc{ test-y7rj3_dataset,
    title = { test Dataset },
    type = { Open Source Dataset },
    author = { ashish },
    howpublished = { \\url{ https://universe.roboflow.com/ashish-cuamw/test-y7rj3 } },
    url = { https://universe.roboflow.com/ashish-cuamw/test-y7rj3 },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { oct },
    note = { visited on 2022-12-28 },
}
```

### License
CC BY 4.0

### Dataset Summary
This dataset was exported via roboflow.com on December 26, 2022 at 10:13 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 4666 images.
T 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 (Stretch)

No image augmentation techniques were applied.



