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    Roboflow Blog
    https://blog.roboflow.com

    Train a YOLOv4-tiny Model on a Custom Dataset

    • Comparing Evaluation Metrics
      Performance metrics show that YOLOv4 tiny is roughly 8X as fast at inference time as YOLOv4 and roughly 2/3 as performant o… See more

    Installing Darknet Dependencies and Framework For Yolov4-Tiny

    We recommend working through this post side by side with the YOLO v4 tiny Colab Notebook. And many of the details in this post cross apply with the general How to Train YOL… See more

    Roboflow Blog
    Download Custom Dataset For Yolov4 Tiny

    For our custom dataset in this tutorial we are using the public blood cell detection dataset hosted on Roboflow Public Datasets. If you would like to follow along directly, for… See more

    Roboflow Blog
    Write Custom Yolov4-Tiny Training Configuration

    Next we write a custom YOLOv4-tiny training configuration. The important takeaway here is that the YOLO models slightly adjust network architecture based on the num… See more

    Roboflow Blog
    Train Custom Yolov4 Tiny Detector

    Once we have our environment, data, and training configuration secured we can move on to training the custom YOLOv4 tiny detectorwith the following command: Kicking off t… See more

    Roboflow Blog
    How to train a custom yolov4-tiny model?
    For training a custom yolov4-tiny model, we'll use the darknet repository. Using labelImg to label the images. It will create .txt-file for each .jpg-file in the same directory and with the same name. Gathering a dataset from Google's Open Images Dataset and using OIDv4 toolkit to generate labels is easy and time efficient.
    github.com

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