# Real Lifebuoy Dataset for Object Detection

## Overview
This dataset contains images of real lifebuoy for object detection tasks. It can be used to train and evaluate object detection models.

Demo Example:

[![Lifebuoy Detection Video](https://img.youtube.com/vi/43IF39-LySI/0.jpg)](https://www.youtube.com/watch?v=43IF39-LySI)

Video is available on video/detr_finetuned_2.mp4 or by clicking the image youtube link.

Left hand side: 1th finetuned with virtual dataset
Right hand side: 2nd further finetuned with real dataset

[![Lifebuoy Detection Video](https://img.youtube.com/vi/Vyb_iCp4bes/0.jpg)](https://www.youtube.com/watch?v=Vyb_iCp4bes)

Video is available on video/detr_finetuned_1vs2.mp4 or by clicking the image youtube link.

## Dataset Structure

### Data Instances

A data point comprises an image and its object annotations.

```

```

### Data Fields

- `image_id`: the image id
- `width`: the image width
- `height`: the image height
- `objects`: a dictionary containing bounding box metadata for the objects present on the image
  - `id`: the annotation id
  - `area`: the area of the bounding box
  - `bbox`: the object's bounding box (in the [coco](https://albumentations.ai/docs/getting_started/bounding_boxes_augmentation/#coco) format)
  - `category`: the object's category, with possible values including 
    - `Lifebuoy` (0)

  
### Data Splits

- `Training dataset` (540)
    - `Virtual`
        - `Lifebuoy` (540)

- `Val dataset` (135)
    - `Virtual`
        - `Lifebuoy` (135)


## Usage
```
from datasets import load_dataset

dataset = load_dataset("ARG-NCTU/Real_Lifebuoy_dataset_2024")
```