keremberke/yolov8m-forklift-detection
Object Detection
•
Updated
•
4.52k
•
5
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End of preview. Expand
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Dataset Labels
['forklift', 'person']
Number of Images
{'test': 42, 'valid': 84, 'train': 295}
How to Use
- Install datasets:
pip install datasets
- Load the dataset:
from datasets import load_dataset
ds = load_dataset("keremberke/forklift-object-detection", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/mohamed-traore-2ekkp/forklift-dsitv/dataset/1
Citation
@misc{ forklift-dsitv_dataset,
title = { Forklift Dataset },
type = { Open Source Dataset },
author = { Mohamed Traore },
howpublished = { \\url{ https://universe.roboflow.com/mohamed-traore-2ekkp/forklift-dsitv } },
url = { https://universe.roboflow.com/mohamed-traore-2ekkp/forklift-dsitv },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { mar },
note = { visited on 2023-01-15 },
}
License
CC BY 4.0
Dataset Summary
This dataset was exported via roboflow.ai on April 3, 2022 at 9:01 PM GMT
It includes 421 images. Forklift are annotated in COCO format.
The following pre-processing was applied to each image:
- Auto-orientation of pixel data (with EXIF-orientation stripping)
No image augmentation techniques were applied.
- Downloads last month
- 47
Size of downloaded dataset files:
20.2 MB
Size of the auto-converted Parquet files:
21.4 MB
Number of rows:
430
Models trained or fine-tuned on keremberke/forklift-object-detection