|
--- |
|
task_categories: |
|
- object-detection |
|
tags: |
|
- roboflow |
|
--- |
|
|
|
### Roboflow Dataset Page |
|
https://universe.roboflow.com/riis/aerial-sheep/dataset/1 |
|
|
|
### Dataset Labels |
|
|
|
``` |
|
['sheep'] |
|
``` |
|
|
|
### Citation |
|
|
|
``` |
|
@misc{ aerial-sheep_dataset, |
|
title = { Aerial Sheep Dataset }, |
|
type = { Open Source Dataset }, |
|
author = { Riis }, |
|
howpublished = { \\url{ https://universe.roboflow.com/riis/aerial-sheep } }, |
|
url = { https://universe.roboflow.com/riis/aerial-sheep }, |
|
journal = { Roboflow Universe }, |
|
publisher = { Roboflow }, |
|
year = { 2022 }, |
|
month = { jun }, |
|
note = { visited on 2023-01-02 }, |
|
} |
|
``` |
|
|
|
### License |
|
Public Domain |
|
|
|
### Dataset Summary |
|
This dataset was exported via roboflow.com on December 2, 2022 at 4:47 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 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 4133 images. |
|
Sheep 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 600x600 (Stretch) |
|
|
|
The following augmentation was applied to create 3 versions of each source image: |
|
* 50% probability of horizontal flip |
|
* 50% probability of vertical flip |
|
* Randomly crop between 0 and 20 percent of the image |
|
* Random brigthness adjustment of between -15 and +15 percent |
|
* Random exposure adjustment of between -10 and +10 percent |
|
|
|
|
|
|
|
|
