Automating Image Classification with Advanced AI Modules

Objective: Automate the classification of images into predefined categories using the Workspace’s no-code visual design tools.

1. Input and Preprocessing

   • Upload image datasets via the Data Input Square with options for bulk uploads or API connections.

   • Add an Image Preprocessing Square for resizing, normalization, and augmentation.

2. Model Integration

   • Drag and drop a Pre-Trained Image Classification Model Square (e.g., ResNet, EfficientNet).

   • Configure category mappings and adjust hyperparameters such as batch size and learning rate.

3. Real-Time Deployment

   • Add a Real-Time API Integration Square to deploy the classification model for live inference.

4. Blockchain-Verified Outputs

   • Link a Blockchain Logging Square to ensure model outputs are traceable and tamper-proof.

5. Scalability

   • Utilize decentralized GPU processing to handle large datasets or high-frequency inference requests.