Image classification Using hugging face for Crypto Beans
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Discover how to classify images using Hugging Face models for the crypto beans dataset. Learn to apply machine learning for image recognition and classification tasks in real-world applications.
At a Glance
The characteristics of currency are durability, portability, divisibility, uniformity, limited supply, and acceptability; all these describe beans. You are a founder of a Crypto company BeanStock that uses beans to back up crypto tokens. The token has exploded in popularity, so you need different beans for different tokens. Sorting the beans is difficult, so you fine-tune Hugging Face’s pre-trained Transformers and PyTorch vision on bean dataset, getting state-of-the-art performance.
About
You first train your Transformers to classify traffic signals then move on to the big problem of bean classification.
Why you should do this Guided Project
A Look at the Project Ahead
- How to use hugging Face API
- Vision Transformer Model
- Image Classification
What You’ll Need
Remember that the IBM Skills Network Labs environment comes with many things pre-installed (e.g. Docker) to save them the hassle of setting everything up. Also note that this platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer or Safari.
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