File size: 2,139 Bytes
c25e897 452b3da c25e897 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 |
---
viewer: false
---
# Boat Dataset for Object Detection
## Overview
This dataset contains images of real & virtual boats for object detection tasks. It can be used to train and evaluate object detection models.
## Dataset Structure
### Data Instances
A data point comprises an image and its object annotations.
```
{'image_id': 0,
'image_path': 'images/0720_0937_2023-07-20-09-37-30_0_middle_color000220.jpg',
'width': 640,
'height': 480,
'objects': {'id': [1],
'area': [328.0],
'bbox': [[153.69000244140625,
101.76499938964844,
21.924999237060547,
14.972999572753906]],
'category': [8]}}
```
### 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
- `BallonBoat` (0)
- `BigBoat` (1)
- `Boat` (2)
- `JetSki` (3)
- `Katamaran` (4)
- `SailBoat` (5)
- `SmallBoat` (6)
- `SpeedBoat` (7)
- `WAM_V` (8)
### Data Splits
- `Training dataset` (42833)
- `Real`
- `WAM_V` (2333)
- `Virtual`
- `BallonBoat` (4500)
- `BigBoat` (4500)
- `Boat` (4500)
- `JetSki` (4500)
- `Katamaran` (4500)
- `SailBoat` (4500)
- `SmallBoat` (4500)
- `SpeedBoat` (4500)
- `WAM_V` (4500)
- `Val dataset` (5400)
- `Real`
- `WAM_V` (900)
- `Virtual`
- `BallonBoat` (500)
- `BigBoat` (500)
- `Boat` (500)
- `JetSki` (500)
- `Katamaran` (500)
- `SailBoat` (500)
- `SmallBoat` (500)
- `SpeedBoat` (500)
- `WAM_V` (500)
## Usage
```
from datasets import load_dataset
dataset = load_dataset("cj94/Boat_dataset")
```
## Citation
If you use this dataset in your research, please cite the following paper:
|