This page is part of Image classification and describes how you can use your mobile phone to import image data into Edge Impulse. To add your phone to your project, go to the Devices page, select Connect a new device and select Use your mobile phone. A QR code will pop up. Scan this code with your phone and your phone will pop up on the devices screen.

Mobile phone connected to Edge Impulse

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1. Collecting images

With your phone connected to your project, it’s time to start capturing some images and build our dataset. We have a special UI for collecting images quickly, on your phone choose Collecting images?.

Choose Collecting images? to load the image-specific UI

On your phone a permission prompt will show up, and then the viewfinder will be displayed. Set the label (in the top corner) to ‘lamp’, point your camera at your lamp and press Capture.

Taking a photo with your phone.

Afterwards the photo shows up in the studio on the Data acquisition page.

Photo shows up in the studio.

Do this until you have captured 30 images per class from a variety of angles. Also make sure to vary the things you capture for the unknown class.

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2. Alternative: upload data directly

Alternatively you can also capture your dataset directly through a different app, and then upload the data directly to Edge Impulse There are both options to do this visually (click the ‘Upload’ icon on the data acquisition screen), or via the CLI. You can find instructions here: Uploader. In this case it’s highly recommended to you use square images, as the transfer learning model expects these; and you probably want to resize these images before uploading them to make sure training remains fast.