keremberke/yolov8m-plane-detection
Object Detection
•
Updated
•
4.3k
•
10
image_id
int64 0
174
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imagewidth (px) 1.92k
1.92k
| width
int32 1.92k
1.92k
| height
int32 1.08k
1.08k
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sequence |
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[
698,
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139,
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]
],
"category": [
0
]
} |
|
12 | 1,920 | 1,080 | {
"id": [
9
],
"area": [
21158
],
"bbox": [
[
868,
425,
142,
149
]
],
"category": [
0
]
} |
|
147 | 1,920 | 1,080 | {
"id": [],
"area": [],
"bbox": [],
"category": []
} |
|
67 | 1,920 | 1,080 | {
"id": [
59
],
"area": [
17640
],
"bbox": [
[
1213,
70,
126,
140
]
],
"category": [
0
]
} |
|
139 | 1,920 | 1,080 | {
"id": [
122
],
"area": [
28520
],
"bbox": [
[
866,
208,
184,
155
]
],
"category": [
0
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} |
['planes']
{'test': 25, 'valid': 50, 'train': 175}
pip install datasets
from datasets import load_dataset
ds = load_dataset("keremberke/plane-detection", name="full")
example = ds['train'][0]
https://universe.roboflow.com/skybot-cam/overhead-plane-detector/dataset/4
@misc{ overhead-plane-detector_dataset,
title = { Overhead Plane Detector Dataset },
type = { Open Source Dataset },
author = { SkyBot Cam },
howpublished = { \\url{ https://universe.roboflow.com/skybot-cam/overhead-plane-detector } },
url = { https://universe.roboflow.com/skybot-cam/overhead-plane-detector },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { jan },
note = { visited on 2023-01-27 },
}
CC BY 4.0
This dataset was exported via roboflow.ai on March 30, 2022 at 3:11 PM GMT
It includes 250 images. Planes are annotated in COCO format.
The following pre-processing was applied to each image:
No image augmentation techniques were applied.