AI Studio
  • AI Studio Guide
  • AI Studio Basics
    • About AI Studio
      • AI Studio Feature Guide
      • Problem Statements
      • Platform Use Cases
    • Key Terminology to Know
  • Building Your First Project
    • Image Tagging
  • Detailed Guide: Image Tagging
    • Your Data
      • Supported Formats & Image Specifications
      • Exploring Datasets
        • Creating New Datasets
        • Adding Data
        • Removing Data
      • Pre-Processing Results
    • Creating and Training Models
      • Training Basics
    • Evaluating Models
      • Default Evaluation Dataset
      • Interpreting Evaluation
        • Interpreting results
      • Improving Your Model
    • Inference
    • Deployment
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  • Training a New Model Within Project
  • Step 1: Create a new dataset in the Dataset page.
  • Step 2: Click on Train.

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  1. Detailed Guide: Image Tagging
  2. Creating and Training Models

Training Basics

Upon creating your Image Tagging project and uploading your dataset, the AI Studio platform trains the fashion model based on the defined labels. Based on the pre-processing results and the actionable insights provided by the platform, you can iterate the dataset and retrain the model.

Training a New Model Within Project

The platform allows users to create multiple models within a single project. To train a new model within the project,

Step 1: Create a new dataset in the Dataset page.

(Insert Image)

Step 2: Click on Train.

Hover around the right side of the dataset uploaded and the Train tab will appear. You can also iterate the dataset before training by clicking on View and adding/ removing fashion images.

(Insert Image)

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Last updated 3 years ago

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