Update README to hub.
Browse files
README.md
ADDED
|
@@ -0,0 +1,89 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
viewer: false
|
| 3 |
+
---
|
| 4 |
+
|
| 5 |
+
# Boat Dataset for Object Detection
|
| 6 |
+
|
| 7 |
+
## Overview
|
| 8 |
+
This dataset contains images of real & virtual boats for object detection tasks. It can be used to train and evaluate object detection models.
|
| 9 |
+
|
| 10 |
+
## Dataset Structure
|
| 11 |
+
|
| 12 |
+
### Data Instances
|
| 13 |
+
|
| 14 |
+
A data point comprises an image and its object annotations.
|
| 15 |
+
|
| 16 |
+
```
|
| 17 |
+
{'image_id': 0,
|
| 18 |
+
'image_path': 'images/0720_0937_2023-07-20-09-37-30_0_middle_color000220.jpg',
|
| 19 |
+
'width': 640,
|
| 20 |
+
'height': 480,
|
| 21 |
+
'objects': {'id': [1],
|
| 22 |
+
'area': [328.0],
|
| 23 |
+
'bbox': [[153.69000244140625,
|
| 24 |
+
101.76499938964844,
|
| 25 |
+
21.924999237060547,
|
| 26 |
+
14.972999572753906]],
|
| 27 |
+
'category': [8]}}
|
| 28 |
+
```
|
| 29 |
+
|
| 30 |
+
### Data Fields
|
| 31 |
+
|
| 32 |
+
- `image_id`: the image id
|
| 33 |
+
- `width`: the image width
|
| 34 |
+
- `height`: the image height
|
| 35 |
+
- `objects`: a dictionary containing bounding box metadata for the objects present on the image
|
| 36 |
+
- `id`: the annotation id
|
| 37 |
+
- `area`: the area of the bounding box
|
| 38 |
+
- `bbox`: the object's bounding box (in the [coco](https://albumentations.ai/docs/getting_started/bounding_boxes_augmentation/#coco) format)
|
| 39 |
+
- `category`: the object's category, with possible values including
|
| 40 |
+
- `BallonBoat` (0)
|
| 41 |
+
- `BigBoat` (1)
|
| 42 |
+
- `Boat` (2)
|
| 43 |
+
- `JetSki` (3)
|
| 44 |
+
- `Katamaran` (4)
|
| 45 |
+
- `SailBoat` (5)
|
| 46 |
+
- `SmallBoat` (6)
|
| 47 |
+
- `SpeedBoat` (7)
|
| 48 |
+
- `WAM_V` (8)
|
| 49 |
+
|
| 50 |
+
|
| 51 |
+
### Data Splits
|
| 52 |
+
|
| 53 |
+
- `Training dataset` (42833)
|
| 54 |
+
- `Real`
|
| 55 |
+
- `WAM_V` (2333)
|
| 56 |
+
- `Virtual`
|
| 57 |
+
- `BallonBoat` (4500)
|
| 58 |
+
- `BigBoat` (4500)
|
| 59 |
+
- `Boat` (4500)
|
| 60 |
+
- `JetSki` (4500)
|
| 61 |
+
- `Katamaran` (4500)
|
| 62 |
+
- `SailBoat` (4500)
|
| 63 |
+
- `SmallBoat` (4500)
|
| 64 |
+
- `SpeedBoat` (4500)
|
| 65 |
+
- `WAM_V` (4500)
|
| 66 |
+
|
| 67 |
+
- `Val dataset` (5400)
|
| 68 |
+
- `Real`
|
| 69 |
+
- `WAM_V` (900)
|
| 70 |
+
- `Virtual`
|
| 71 |
+
- `BallonBoat` (500)
|
| 72 |
+
- `BigBoat` (500)
|
| 73 |
+
- `Boat` (500)
|
| 74 |
+
- `JetSki` (500)
|
| 75 |
+
- `Katamaran` (500)
|
| 76 |
+
- `SailBoat` (500)
|
| 77 |
+
- `SmallBoat` (500)
|
| 78 |
+
- `SpeedBoat` (500)
|
| 79 |
+
- `WAM_V` (500)
|
| 80 |
+
|
| 81 |
+
|
| 82 |
+
## Usage
|
| 83 |
+
```
|
| 84 |
+
from datasets import load_dataset
|
| 85 |
+
dataset = load_dataset("zhuchi76/Boat_dataset")
|
| 86 |
+
```
|
| 87 |
+
|
| 88 |
+
## Citation
|
| 89 |
+
If you use this dataset in your research, please cite the following paper:
|