Marine-litter Computer Vision Project
dev1
Updated 9 months ago
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* 50% probability of horizontal flip
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down
* Random rotation of between -15 and +15 degrees
* Resize to 416x416 (Stretch)
* Salt and pepper noise was applied to 5 percent of pixels
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Bicchieri di plastica
Bottiglia di plastica
Bottiglia di vetro
Busta di plastica
Filo di nylon
Imballaggio plastica
It includes 111 images.
Lattina
Litter are annotated in YOLO v5 PyTorch format.
Mascherina
Metallo
Mozziconi
Plastica generica
Polistirolo
Posate di plastica
Roboflow is an end-to-end computer vision platform that helps you
Scarpe
Sughero
Tappo di plastica
Tetrapak
The following augmentation was applied to create 3 versions of each source image:
The following pre-processing was applied to each image:
This dataset was exported via roboflow
This dataset was exported via roboflow.com on August 16, 2022 at 7:10 AM GMT
marine litter - v1 2022-08-16 12:37pm
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Cite This Project
LICENSE
Public Domain If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
marine-litter-kaumx_dataset,
title = { Marine-litter Dataset },
type = { Open Source Dataset },
author = { dev1 },
howpublished = { \url{ https://universe.roboflow.com/dev1/marine-litter-kaumx } },
url = { https://universe.roboflow.com/dev1/marine-litter-kaumx },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { feb },
note = { visited on 2024-11-24 },
}