Credits are a form of currency on the LandingLens platform. You spend credits when you perform these actions:
Train models: “Teach” models what they should detect.
Run inference: Have the model detect what it was “taught” to look for in new images.
Anyone in your organization can use the credits. You can find more information about your organization’s credit balance and usage on the Plan and Billing and Usage pages.
Credits are used for training models or making predictions. The number of credits used depends on whether you’re using Fast Training (the default training method) or Custom Training:
Fast Training Cost
Custom Training Cost
Include 1 image in training
1 credit
Depends on project type and training settings
Run inference on 1 image
1 credit
Depends on project type and training settings
For detailed information about how credits are calculated for Custom Training, go here.
Here’s an example of how you can “spend” 5,000 credits:
Action
Credits Used
Credits Left
Use Fast Training to train a model with 200 images.
200
4,800
You want to improve model performance so you update labels. Then you run Fast Training with the 200 images again.
200
4,600
You run inference on 10 images to see how the model performs on images it hasn’t seen before. Since the model was created using Fast Training, each inference (prediction) costs 1 credit.
10
4,590
Based on how the model performed on the new images, you update the labels. Then you run Fast Training with the 200 images again.
200
4,390
You run inference on 10 images again to test the model.
10
4,380
You are happy with the model performance. You can now deploy the model to a production environment and use the rest of the credits to run inference.
If you’re on the Free plan, your organization is allotted 1,000 credits per billing cycle. More credits cannot be added.If you’re on the Enterprise plan, contact your account team or support@landing.ai for information about how credits are managed.
Do credits roll over at the end of the billing cycle?
For Free plans, credits do not roll over. Your allotted credits reset each month.If you’re on the Enterprise plan, contact your account team or support@landing.ai for information about how credits are managed.
The Predict at Upload setting impacts credit usage. If Predict at Upload is enabled and you upload a new image to a project that already has a trained model, the model runs inference on that image. Running inference on an image consumes credits. By default, the Predict at Upload setting is disabled.To enable or disable the Predict at Upload setting, go to the Plan and Billing page.
