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README.md

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+# 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")
+```