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---
language:
- en
tags:
- object-detection
- robotics
- turtlebot
license: cc-by-4.0
datasets:
- turtlebot-detection-dataset-v1
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: image
dtype: image
- name: objects
struct:
- name: class
sequence: int32
- name: bbox
sequence:
sequence: float32
splits:
- name: train
num_bytes: 186191968.91
num_examples: 1006
download_size: 186249727
dataset_size: 186191968.91
---
# TurtleBot Detection Dataset v1
## Dataset Description
A curated dataset of **1,006 TurtleBot images** with **YOLO-format bounding box annotations** for object detection. Contains annotations for a single class (`Turtlebot`).
- **Homepage**: [https://huggingface.co/datasets/fhahn/turtlebot-detection-dataset-v1](https://huggingface.co/datasets/fhahn/turtlebot-detection-dataset-v1)
- **License**: [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/) (Attribution required)
- **Total Images**: 1,006
- **Classes**: `Turtlebot` (class ID: `0`)
## Usage
```python
from datasets import load_dataset
dataset = load_dataset("fhahn/turtlebot-detection-dataset-v1")
# Access the first example
print(dataset["train"][0]["image"]) # Image object
print(dataset["train"][0]["objects"]) # {"class": [0], "bbox": [[x_center, y_center, w, h]]}
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