qubvel/efficientnet
Implementation of EfficientNet model. Keras and TensorFlow Keras.
This is a tool for machine learning engineers who need to classify images or perform object detection, but are constrained by computational resources. It allows you to build or load a pre-trained EfficientNet model, which takes images as input and outputs classifications or detected objects with state-of-the-art accuracy, using fewer computational resources than other models. It's ideal for those working on computer vision tasks who need high performance efficiently.
2,100 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to implement or fine-tune advanced image recognition models and prioritize both high accuracy and computational efficiency.
Not ideal if your primary goal is simple, basic image processing that doesn't require deep learning or high-accuracy classification.
Stars
2,100
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463
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 24, 2024
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