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MahmudulAlam / Automatic-Identification-and-Counting-of-Blood-Cells

Machine learning approach of automatic identification and counting of blood cells (RBC, WBC, and Platelet) with KNN and IOU based verification.
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/htl.2018.5098
GNU General Public License v3.0
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Training file missing #8

Closed yuki4ghub15 closed 4 years ago

yuki4ghub15 commented 4 years ago

Hi, thanks for good work. I have curiosity on how you get the detection with tiny yolo3. which accuracy is lower than original yolo3 model. could you share your training file. thanks -

MahmudulAlam commented 4 years ago

Hello, @yuki4ghub15 Thanks for your interest. Yes, the accuracy of the tiny yolo is indeed lower than the original model. However, training tiny yolo it a lot easier with your dataset than the original one. If you are asking for the weights file (training file), they are already shared. You can access them by clicking Download badge in the readme section or use this link.

I have also shared two wikis on how to run the code and how to train on your dataset. You can find them in the wiki section.