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# Deploy the Project on CamelX Platform
# Image-to-Text Action
Deploy on CamelX Platform in three steps
Detect and classify objects in an image into texts using the SSD and ResNet models and the ImageNet dataset.
## Step 1: Create a release
From the project space, click on **"Create a release"**
## Metadata
The new version is automatically available in the list
| Property | Value |
|----------|-------|
| Type | action |
| Group | Actions |
| Namespace | AI |
| Support Level | Preview |
| Provider | Apache Software Foundation |
## Step 2: Deploy
Click on **"Deploy"**
## Dependencies
- **Version:** Select the desired release
- **Environment:** Choose `Development`, `Staging`, or `Production`
- **Configuration:** Select the configuration source
- **Resources:** Set CPU and Memory
## Step 3: Expose
Enable **"Expose"**
Choose an **API Gateway** (Internal, Public, etc.)
- `mvn:ai.djl.pytorch:pytorch-engine:0.29.0`
- `mvn:ai.djl.pytorch:pytorch-model-zoo:0.29.0`
- `mvn:net.sf.extjwnl:extjwnl:2.0.5`
- `mvn:net.sf.extjwnl:extjwnl-data-wn31:1.2`
- `camel:core`
- `camel:kamelet`
- `camel:jackson`
- `camel:djl`