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We train an EfficientDet model in TensorFlow 2 to detect custom objects (blood cells), including setting up a TensorFlow 2 training environment, loading and converting our dataset to create TFRecord files, and configuring our EffecientDet-b0 training job. Finally, we use our newly minted custom detector to infer on test images that it has never seen.

Tools:
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Public datasets - [ Ссылка ]
Colab notebook - [ Ссылка ]
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