I Trained a Computer🖥️ to recognize a [HUMAN], [MOBILE PHONE], [BALL], [BOTTLE].I train an image classifier and import the machine learning model into a p5.js sketch with the ml5.js library. I pre-trained the model with 500 photos, and store the model in cloud.
- No previous knowledge necessary, but some experience in Scratch, HTML, or Javascript will help.
- Knowing how to use a web browser, and word processing is required.
- Laptops or computers with webcams are required.
- The program will run on a chromebook, however the power of the computer affects performance, so the framerate could drop on machines like a chromebook.
- 🔗 ml5.js
- 🔗 p5.js
- 🔗 Tensorflow.js
This is made by Ayushman Singh Chauhan (Me), I am a Student who is interested in games, learning, and technology. Since I am a fresher, I am still learning. I am always open to learn.
This project is licensed under the Ayushman License - see the LICENSE file for details
Get in touch with Ayushman at: ascb508 [at] gmail.com if you would like to contribute feedback or ideas!
- Thanks to: Daniel Shiffman from The Coding Train for tech support