README.md

metadata

task_categories:
  - object-detection
tags:
  - roboflow
  - roboflow2huggingface
  - Biology

Dataset Labels

['platelets', 'rbc', 'wbc']

Number of Images

{'train': 255, 'test': 36, 'valid': 73}

How to Use

• Install datasets:

pip install datasets

• Load the dataset:

from datasets import load_dataset

ds = load_dataset("keremberke/blood-cell-object-detection", name="full")
example = ds['train'][0]

Roboflow Dataset Page

https://universe.roboflow.com/team-roboflow/blood-cell-detection-1ekwu/dataset/3

Citation

@misc{ blood-cell-detection-1ekwu_dataset,
    title = { Blood Cell Detection Dataset },
    type = { Open Source Dataset },
    author = { Team Roboflow },
    howpublished = { \\url{ https://universe.roboflow.com/team-roboflow/blood-cell-detection-1ekwu } },
    url = { https://universe.roboflow.com/team-roboflow/blood-cell-detection-1ekwu },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { nov },
    note = { visited on 2023-01-18 },
}

License

Public Domain

Dataset Summary

This dataset was exported via roboflow.com on November 4, 2022 at 7:46 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 unstructured image data
• annotate, and create datasets
• export, train, and deploy computer vision models
• use active learning to improve your dataset over time

It includes 364 images. Cells 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 416x416 (Stretch)

No image augmentation techniques were applied.