https://github.com/zenitsu272/image-classification-in-edge-impulse-
A Machine-Learning based image classification using Edge impulse.
https://github.com/zenitsu272/image-classification-in-edge-impulse-
Last synced: 2 months ago
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A Machine-Learning based image classification using Edge impulse.
- Host: GitHub
- URL: https://github.com/zenitsu272/image-classification-in-edge-impulse-
- Owner: Zenitsu272
- Created: 2024-12-18T13:05:33.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-12-18T13:29:35.000Z (6 months ago)
- Last Synced: 2025-02-15T07:27:13.162Z (4 months ago)
- Size: 13.2 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Image-classification-in-edge-impulse-
A Machine-Learning based image classification using Edge impulse.
With the world growing in a rapid rate, automating things with AI has helped mankind in a very constructive way.
Here is a simple project which I did using edge impulse which basically classifies my hand signal on the basis of my hand's position.
This primarily has 2 labels, Open hand and Close hand. This model would classify if my hand/images in the dataset are open or closed.
I took this dataset manually using a laptop and based on what i've uploaded, the model classifies the images.
This model has acquired a perfect accuracy which is 100%. Since this is relatively a smaller dataset, the model classified the images with 100% accuracy and its not overfitting.
I'm looking forward for the deployment of this in ESP-32 cam, in which I expect a very good accuracy.