LandingLens | LandingLens on Snowflake |
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Feature | Free | Enterprise |
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General | ||
Cost | $0 | Contact sales for pricing |
Credits | 1,000 per month | Custom |
Credit Overages | Not supported | Custom |
Create Organizations | Unlimited | Unlimited |
Invite Users | 3 | Custom |
Create Projects | Unlimited | Unlimited |
Role/Access Control | ✓ | ✓ |
Data Management | ||
Unlimited Projects | ✓ | ✓ |
Unlimited Classes | ✓ | ✓ |
Up to 10k images per project | ✓ | ✓ |
Image Annotation | ✓ | ✓ |
Import Labeled Images | ✓ | ✓ |
Agreement-Based Labeling | ✓ | ✓ |
Meta Data Management/Tags | ✓ | ✓ |
Model Training | ||
Model Training | ✓ | ✓ |
Snapshot (Versioning) | Unlimited | Unlimited |
Visual Prompting | ✓ | ✓ |
Advanced Training | ✓ | ✓ |
Model Deployment | ||
LandingEdge | ✓ | ✓ |
Docker App | ✓ | ✓ |
Unlimited Cloud Model Deployments | ✓ | ✓ |
Active Project/Download Model | 1 Download - Noncommercial Use | Starting at 5 |
Security & Access | ||
Private Projects | ✓ | ✓ |
SAML SSO | - | ✓ |
Support | ||
Community Support | ✓ | ✓ |
In-Product Support | ✓ | ✓ |
Customer Success | - | ✓ |
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 |
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. | 4380 | 0 |