|
|
--- |
|
|
language: |
|
|
- en |
|
|
pretty_name: Pucks surrogate Laserweeder |
|
|
license: other |
|
|
license_name: laser-dataset-replication-license-v1.0 |
|
|
license_link: LICENSE |
|
|
tags: |
|
|
- AgTech |
|
|
annotations_creators: |
|
|
- machine-generated |
|
|
language_creators: |
|
|
- found |
|
|
size_categories: |
|
|
- n<1K |
|
|
source_datasets: |
|
|
- original |
|
|
task_categories: |
|
|
- object-detection |
|
|
configs: |
|
|
- config_name: default |
|
|
data_files: |
|
|
- split: train |
|
|
path: data/train-* |
|
|
- split: validation |
|
|
path: data/validation-* |
|
|
- split: test |
|
|
path: data/test-* |
|
|
dataset_info: |
|
|
features: |
|
|
- name: image_id |
|
|
dtype: int32 |
|
|
- name: image |
|
|
dtype: image |
|
|
- name: annotated_image |
|
|
dtype: image |
|
|
- name: resolution |
|
|
sequence: int32 |
|
|
length: 2 |
|
|
- name: bboxes |
|
|
sequence: |
|
|
sequence: float32 |
|
|
length: 4 |
|
|
- name: category_ids |
|
|
sequence: int32 |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 316722721.0 |
|
|
num_examples: 118 |
|
|
- name: validation |
|
|
num_bytes: 48332168.0 |
|
|
num_examples: 18 |
|
|
- name: test |
|
|
num_bytes: 24279368.0 |
|
|
num_examples: 9 |
|
|
download_size: 389352498 |
|
|
dataset_size: 389334257.0 |
|
|
--- |
|
|
|
|
|
<h1 align="center"><strong>Pucks dataset</strong></h1> |
|
|
|
|
|
## Dataset Overview |
|
|
|
|
|
<div align="justify"> |
|
|
|
|
|
The Pucks Dataset is part of the L&Aser surrogate target recognition pipeline developed by Laudando & Associates LLC. This dataset contains high-resolution field images annotated with bounding boxes around small circular surrogate targets (“pucks”) used to simulate real weed targets for the L&Aser weeding system. |
|
|
|
|
|
</div> |
|
|
|
|
|
## Contents |
|
|
|
|
|
- Raw RGB images collected in field conditions using a NVIDIA Jetson and monocular camera |
|
|
|
|
|
- Bounding boxes in COCO-style format generated using a neural network |
|
|
|
|
|
- Annotated visual overlays for quick inspection |
|
|
|
|
|
## Preview Format |
|
|
|
|
|
<div align="justify"> |
|
|
|
|
|
This dataset is optimized for visual inspection on the Hugging Face Hub, with an additional ```annotated_image``` column for rapid validation. The raw COCO JSON and images are included in their original form for reproducibility and training. |
|
|
|
|
|
</div> |
|
|
|
|
|
## Example Use |
|
|
|
|
|
```python |
|
|
from datasets import load_dataset |
|
|
|
|
|
ds = load_dataset("Laudando-Associates-LLC/pucks", split="train") |
|
|
img = ds[0]["image"] |
|
|
ann = ds[0]["bboxes"] |
|
|
``` |
|
|
|
|
|
## Recording Date |
|
|
|
|
|
<div align="justify"> |
|
|
|
|
|
The data was originally collected in ROS 2 bag format in April 2024 during controlled field trials conducted by Laudando & Associates LLC. |
|
|
This dataset is a stripped-down version containing only the extracted RGB images and their corresponding object detection annotations. |
|
|
|
|
|
</div> |
|
|
|
|
|
## License |
|
|
|
|
|
<div align="justify"> |
|
|
|
|
|
This dataset is provided under the L&Aser Dataset Replication License (Version 1.0). See [LICENSE](LICENSE) for full terms. |
|
|
|
|
|
</div> |
