Brainchip / Akida Image Classification Public

Akida Image Classification

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"
00042.1d8pjpm1
00016.1d8pjpgl
lamp.1q53783d
plant.1q537n35
plant.1q537lvh
plant.1q537rgo
00034.1d8pjpjf
unknown.1q538odg

Run this model

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Dataset summary

Data collected
289 items
Labels
lamp, plant, unknown

Project info

Project ID 115634
Project version 7
License Apache 2.0
No. of views 86,971
No. of clones 42