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triangulum66/bubble_size_distribution

Dataset Labels

['bubble']

Number of Images

{'valid': 47, 'test': 32, 'train': 243}

How to Use

pip install datasets
  • Load the dataset:
from datasets import load_dataset

ds = load_dataset("triangulum66/bubble_size_distribution", name="full")
example = ds['train'][0]

Roboflow Dataset Page

https://universe.roboflow.com/indian-institute-of-technology-guwahati/project-2-cylun/dataset/2

Citation

@misc{
                            project-2-cylun_dataset,
                            title = { Project 2 Dataset },
                            type = { Open Source Dataset },
                            author = { Indian Institute of Technology Guwahati },
                            howpublished = { \\url{ https://universe.roboflow.com/indian-institute-of-technology-guwahati/project-2-cylun } },
                            url = { https://universe.roboflow.com/indian-institute-of-technology-guwahati/project-2-cylun },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { feb },
                            note = { visited on 2024-02-28 },
                            }

License

CC BY 4.0

Dataset Summary

This dataset was exported via roboflow.com on February 27, 2024 at 4:50 PM GMT

Roboflow is an end-to-end computer vision platform that helps you

  • collaborate with your team on computer vision projects
  • collect & organize images
  • understand and search unstructured image data
  • annotate, and create datasets
  • export, train, and deploy computer vision models
  • use active learning to improve your dataset over time

For state of the art Computer Vision training notebooks you can use with this dataset, visit https://github.com/roboflow/notebooks

To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com

The dataset includes 322 images. Bubbles are annotated in COCO format.

The following pre-processing was applied to each image:

No image augmentation techniques were applied.

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