Image classification Using hugging face for Crypto Beans
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.
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Language
- English
Topic
- Computer Vision
Industries
- Information Technology
Enrollment Count
- 158
Skills You Will Learn
- Python, Artificial Intelligence, Image Processing, Computer Vision, PyTorch
Offered By
- IBMSkillsNetwork
Estimated Effort
- 1 hour
Platform
- SkillsNetwork
Last Update
- May 17, 2024
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.
Language
- English
Topic
- Computer Vision
Industries
- Information Technology
Enrollment Count
- 158
Skills You Will Learn
- Python, Artificial Intelligence, Image Processing, Computer Vision, PyTorch
Offered By
- IBMSkillsNetwork
Estimated Effort
- 1 hour
Platform
- SkillsNetwork
Last Update
- May 17, 2024
Instructors
Jigisha Barbhaya
Data Scientist
I am a Data scientist at IBM and Lead instructor at Skills network. I love to learn and educate. I have completed my MSc(Computer Application) specialisation in Data science from Symbiosis University.
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Svitlana Kramar
Data Scientist
I’m a passionate data science educator whose goal is to learn by teaching innovative data science tools that can improve our day-to-day tasks and our quality of life. My interests are in Natural Language Processing: text classification, summarization, and generation. Research can take a long time because there are a lot of resources and new opinions posted every day. Having tools to summarize and extract the information can save a lot of time. I hope we can all learn, approve, and apply the data science tools to cut down on the repetitive and tedious tasks, to make more informed decisions in life, to differentiate fake from real, and to open communication spaces to language-diverse or hearing-impaired audiences. The applications are limitless! My personality: I am a foodie and I love cooking and learning different cuisines. I also love travelling and connecting with people by learning a little bit of their language, about their food and music. I hold Data Science and Analytics master’s degree, specializing in Machine Learning, from University of Calgary.
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