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RavenKR/horseVsHuman
horseVsHuman is a machine learning model from RavenKR. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for tf-keras.
This model classifies images as either "Horse" or "Human." It uses transfer learning with the InceptionV3 architecture to accurately distinguish between these two categories.
Downloads · 30 days
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3% of all-time downloads
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From the Hugging Face model README
This model classifies images as either "Horse" or "Human." It uses transfer learning with the InceptionV3 architecture to accurately distinguish between these two categories.
The Horse or Human model was trained on a dataset containing images of horses and humans. Using transfer learning, the model leverages pre-trained weights from the InceptionV3 architecture, allowing it to recognize complex features in the images. The dataset consists of images from diverse sources, ensuring better generalization.
To use the model for image classification, you can follow these steps:
transformers library if you haven't already:
pip install transformers