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GitHub / sayakpaul / Blood-Cell-Detection-using-TFOD-API

This project demonstrates the use of TensorFlow Object Detection API (along with GCP ML Engine) to automatically detect Red Blood Cells (RBCs), White Blood Cells (WBCs), and Platelets in each image taken via microscopic image readings

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sayakpaul%2FBlood-Cell-Detection-using-TFOD-API
PURL: pkg:github/sayakpaul/Blood-Cell-Detection-using-TFOD-API

Stars: 23
Forks: 7
Open issues: 0

License: mit
Language: Jupyter Notebook
Size: 91.9 MB
Dependencies parsed at: Pending

Created at: almost 6 years ago
Updated at: over 1 year ago
Pushed at: over 5 years ago
Last synced at: 3 days ago

Topics: deep-learning, google-cloud-platform, ml-engine, object-detection, tensorflow-object-detection-api

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