Edge Impulse Inc. / Tutorial: Adding sight to your sensors

This is the finished Edge Impulse project for the tutorial 'Adding sight to your sensors'. From here you can acquire new training data, design impulses and train models.

Images

About this project

Lamps and Plants and Bears, oh my!

Plant classification OpenMV

Want to make the most of your device's camera and predict what is/is not present in your device's environment? Clone this project to build an embedded ML project to add intelligent sight to your device.

You can also follow our tutorial to guide you through building your image classification model, from data collection to deployment on embedded devices.

Sensor & Block Information

Image data
Image DSP block for normalizing image files
Transfer Learning block with prediction outputs: "lamp", "plant", "unknown"

Download block output

Title	Type	Size
Image training data	NPY file	221 windows
Image training labels	NPY file	221 windows
Image testing data	NPY file	55 windows
Image testing labels	NPY file	55 windows
Transfer learning model	TensorFlow Lite (float32)	2 MB
Transfer learning model	TensorFlow Lite (int8 quantized)	617 KB
Transfer learning model	TensorFlow SavedModel	2 MB
Transfer learning model	Keras h5 model	2 MB

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Summary

Data collected

276 items

Project info

Project ID	14227
Project version	9
License	No license attached