README.md

---
license: mit
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task_categories:
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---


# AgroSegNet

This dataset comprises synthetic images captured from a top-down perspective, featuring two distinct annotations: one for direct sunlight and another for human and plant segmentation.

# Example loader

## Install Hugging Face datasets package

```sh
pip install datasets
```


## Download the dataset

```python
from datasets import load_dataset

dataset = load_dataset("Menchen/AgroSegNet","default") # Change "default" to "default-tiny" to preview and test

```

## Load the data

Images and masks are stored as PIL, for example:

```python

dataset["train"][1]["image"] # PIL image to rendered image

dataset["train"][1]["label"] # PIL image to mask

```

## Acknowledgement

This work was supported by Grants TED2021-129300B-I00 and PID2021-122466OB-I00, by MCIN/AEI/10.13039/501100011033, NextGenerationEU/PRTR, UE, and the Murcia Regional Science and Technology Agency (Fundación Séneca, Action Plan 2022) under Grant 22130/PI/22.