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"
00019.1d8pjpc9
plant.1q537see
unknown.1q538m7v
lamp.1q536v1q
unknown.1q538en8
00033.1d8pjpje
unknown.1q538p69
unknown.1q538d08

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 81,541
No. of clones 40