Projects

Projects organize your models, datasets, and jobs within an organization.

Overview

A project:

• Belongs to an organization
• Contains models, datasets, and jobs
• Has its own team members with specific access
• Isolates resources for different use cases

Creating a Project

from seeme import Client

client = Client()

## Create a new project
project = client.create_project(
    organization_id=org.id,
    name="Product Classification",
    description="Classify product images by category"
)
print(f"Created project: {project.id}")

Project Structure

Organization
└── Project
    ├── Models
    │   ├── Model 1
    │   │   ├── Version 1.0
    │   │   └── Version 1.1
    │   └── Model 2
    ├── Datasets
    │   ├── Training Data
    │   └── Test Data
    └── Jobs
        ├── Training Job
        └── Inference Job

Managing Project Members

Add Members

# Add member to project
client.add_project_member(
    project_id=project.id,
    user_id=user.id,
    role="contributor"  # admin, contributor, viewer
)

Project Roles

Project Settings

Configure:

• Project visibility
• Default compute settings
• Notification preferences
• Integration webhooks