First, we'll train a custom machine learning model using objects on your desk. For my model I used a pen, Lobe sticker, and a succulent plant. Feel free to use any objects you'd like!
First, download and install Lobe from the link below:
If this is your first time using Lobe you'll need to give it permission to use your camera.
My first label is "Pen" because it's a picture of, well, a pen!
Take pictures from different angles, in different lighting conditions, and with different hand placements to improve model accuracy.
Remember to add a new label for each object (e.g. "Sticker" and "Succulent").
This improves accuracy of the ML model. See below for more info.
Why is there always a prediction even when nothing is in the image?
Lobe will always predict one of your labels even if your image does not contain any related content. If you expect your model to see these types of images, create a ‘None’ label and add variations of these images as examples. You can use this ‘None’ label as a placeholder when waiting for relevant predictions.