Datasets:
Tasks:
Object Detection
Size:
1K - 10K
Search is not available for this dataset
image_id
int64 0
2.24k
| image
imagewidth (px) 640
640
| width
int32 640
640
| height
int32 640
640
| objects
sequence |
---|---|---|---|---|
714 | 640 | 640 | {
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|
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1,300 | 640 | 640 | {
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1,001 | 640 | 640 | {
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1,546 | 640 | 640 | {
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1,012 | 640 | 640 | {
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628 | 640 | 640 | {
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1,455 | 640 | 640 | {
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2,085 | 640 | 640 | {
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390 | 640 | 640 | {
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1,441 | 640 | 640 | {
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1,945 | 640 | 640 | {
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377 | 640 | 640 | {
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1,029 | 640 | 640 | {
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1,545 | 640 | 640 | {
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|
1,230 | 640 | 640 | {
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2,067 | 640 | 640 | {
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539 | 640 | 640 | {
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551 | 640 | 640 | {
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2,100 | 640 | 640 | {
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1,777 | 640 | 640 | {
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1,058 | 640 | 640 | {
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2,189 | 640 | 640 | {
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288 | 640 | 640 | {
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1,568 | 640 | 640 | {
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462 | 640 | 640 | {
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1,832 | 640 | 640 | {
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601 | 640 | 640 | {
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1,611 | 640 | 640 | {
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1,566 | 640 | 640 | {
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250 | 640 | 640 | {
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1,985 | 640 | 640 | {
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2,148 | 640 | 640 | {
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1,500 | 640 | 640 | {
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1,522 | 640 | 640 | {
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749 | 640 | 640 | {
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1,589 | 640 | 640 | {
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2,234 | 640 | 640 | {
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1,581 | 640 | 640 | {
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1,659 | 640 | 640 | {
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153 | 640 | 640 | {
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1,435 | 640 | 640 | {
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451 | 640 | 640 | {
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963 | 640 | 640 | {
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657 | 640 | 640 | {
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1,772 | 640 | 640 | {
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1,525 | 640 | 640 | {
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1,507 | 640 | 640 | {
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|
2,045 | 640 | 640 | {
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|
1,861 | 640 | 640 | {
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|
1,282 | 640 | 640 | {
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70080,
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|
589 | 640 | 640 | {
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} |
|
2,178 | 640 | 640 | {
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281,
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} |
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777 | 640 | 640 | {
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[
242,
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163.5,
207.5
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],
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1
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} |
|
983 | 640 | 640 | {
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236376,
38456
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1,679 | 640 | 640 | {
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|
2,223 | 640 | 640 | {
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216,
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317.5,
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2,
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} |
|
1,846 | 640 | 640 | {
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2640,
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35 | 640 | 640 | {
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1,137 | 640 | 640 | {
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|
1,395 | 640 | 640 | {
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[
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1,127 | 640 | 640 | {
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|
1,570 | 640 | 640 | {
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} |
|
1,336 | 640 | 640 | {
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306,
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322,
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} |
|
186 | 640 | 640 | {
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276
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52830
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} |
|
220 | 640 | 640 | {
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} |
|
1,266 | 640 | 640 | {
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} |
|
736 | 640 | 640 | {
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1040
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316305
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|
1,751 | 640 | 640 | {
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135465,
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330,
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263,
390,
352,
249
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],
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2,
1
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} |
|
1,750 | 640 | 640 | {
"id": [
2511
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196768
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473,
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} |
End of preview. Expand
in Dataset Viewer.
Dataset Labels
['excavators', 'dump truck', 'wheel loader']
Number of Images
{'test': 144, 'train': 2245, 'valid': 267}
How to Use
- Install datasets:
pip install datasets
- Load the dataset:
from datasets import load_dataset
ds = load_dataset("keremberke/excavator-detector", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/mohamed-sabek-6zmr6/excavators-cwlh0/dataset/3
Citation
@misc{ excavators-cwlh0_dataset,
title = { Excavators Dataset },
type = { Open Source Dataset },
author = { Mohamed Sabek },
howpublished = { \\url{ https://universe.roboflow.com/mohamed-sabek-6zmr6/excavators-cwlh0 } },
url = { https://universe.roboflow.com/mohamed-sabek-6zmr6/excavators-cwlh0 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { nov },
note = { visited on 2023-01-16 },
}
License
CC BY 4.0
Dataset Summary
This dataset was exported via roboflow.ai on April 4, 2022 at 8:56 AM GMT
It includes 2656 images. Excavator are annotated in COCO format.
The following pre-processing was applied to each image:
- Auto-orientation of pixel data (with EXIF-orientation stripping)
- Resize to 640x640 (Stretch)
No image augmentation techniques were applied.
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