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README.dataset.txt

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+# Blood Cell Detection > 2022-10-27 4:01pm
+https://universe.roboflow.com/team-roboflow/blood-cell-detection-1ekwu
+
+Provided by a Roboflow user
+License: Public Domain
+
+# Overview
+ 
+This is a dataset of blood cells photos, originally open sourced by [cosmicad](https://github.com/cosmicad/dataset) and [akshaylambda](https://github.com/akshaylamba/all_CELL_data). 
+
+There are 364 images across three classes: `WBC` (white blood cells), `RBC` (red blood cells), and `Platelets`. There are 4888 labels across 3 classes (and 0 null examples).
+
+Here's a class count from Roboflow's Dataset Health Check:
+
+![BCCD health](https://i.imgur.com/BVopW9p.png)
+
+And here's an example image:
+
+![Blood Cell Example](https://i.imgur.com/QwyX2aD.png)
+
+`Fork` this dataset (upper right hand corner) to receive the raw images, or (to save space) grab the 500x500 export.
+
+# Use Cases
+
+This is a small scale object detection dataset, commonly used to assess model performance. It's a first example of medical imaging capabilities.
+
+# Using this Dataset
+
+We're releasing the data as public domain. Feel free to use it for any purpose.
+
+It's not required to provide attribution, but it'd be nice! :)
+
+# About Roboflow
+
+[Roboflow](https://roboflow.ai) makes managing, preprocessing, augmenting, and versioning datasets for computer vision seamless. 
+
+Developers reduce 50% of their boilerplate code when using Roboflow's workflow, automate annotation quality assurance, save training time, and increase model reproducibility.
+
+#### [![Roboflow Workmark](https://i.imgur.com/WHFqYSJ.png =350x)](https://roboflow.ai)

README.roboflow.txt

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+
+Blood Cell Detection - v3 2022-10-27 4:01pm
+==============================
+
+This dataset was exported via roboflow.com on January 29, 2023 at 4:55 AM 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 364 images.
+Cells are annotated in YOLOv8 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.
+
+

data.yaml

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+train: ../train/images
+val: ../valid/images
+test: ../test/images
+
+nc: 3
+names: ['Platelets', 'RBC', 'WBC']
+
+roboflow:
+  workspace: team-roboflow
+  project: blood-cell-detection-1ekwu
+  version: 3
+  license: Public Domain
+  url: https://universe.roboflow.com/team-roboflow/blood-cell-detection-1ekwu/dataset/3

test/labels/BloodImage_00038_jpg.rf.03bd3f26d2c86bdd5bfada9cac475eef.txt

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