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"
00025.1d8pjp7b
lamp.1q5371s5
00032.1d8pjpja
unknown.1q538abk
lamp.1q537083
unknown.1q538cbl
plant.1q537see
00018.1d8pjpbf

Run this model

Scan QR code or launch in browser

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 86,418
No. of clones 42