README.md

---
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]]}