ta / README.md
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dataset uploaded by roboflow2huggingface package
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---
task_categories:
- image-segmentation
tags:
- roboflow
- roboflow2huggingface
---
<div align="center">
<img width="640" alt="dreamyou/ta" src="https://huggingface.co/datasets/dreamyou/ta/resolve/main/thumbnail.jpg">
</div>
### Dataset Labels
```
['melon']
```
### Number of Images
```json
{'valid': 100, 'test': 100, 'train': 400}
```
### 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("dreamyou/ta", name="full")
example = ds['train'][0]
```
### Roboflow Dataset Page
[https://universe.roboflow.com/fifialfi/skripsi2-wb4wo/dataset/1](https://universe.roboflow.com/fifialfi/skripsi2-wb4wo/dataset/1?ref=roboflow2huggingface)
### Citation
```
@misc{
skripsi2-wb4wo_dataset,
title = { Skripsi2 Dataset },
type = { Open Source Dataset },
author = { fifialfi },
howpublished = { \\url{ https://universe.roboflow.com/fifialfi/skripsi2-wb4wo } },
url = { https://universe.roboflow.com/fifialfi/skripsi2-wb4wo },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { oct },
note = { visited on 2024-12-06 },
}
```
### License
CC BY 4.0
### Dataset Summary
This dataset was exported via roboflow.com on October 17, 2024 at 9:17 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 600 images.
Melon are annotated in COCO format.
The following pre-processing was applied to each image:
* Resize to 640x640 (Stretch)
No image augmentation techniques were applied.