Appen vs Supervisely

Struggling to choose between Appen and Supervisely? Both products offer unique advantages, making it a tough decision.

Appen is a Ai Tools & Services solution with tags like data-annotation, ai-training, machine-learning.

It boasts features such as Data annotation platform for AI training, Access to global crowd workforce for data labeling, Image, text, speech and video data annotation, Tools for data labeling and quality control, Secure data management and IP protection and pros including Scalable workforce for large annotation projects, Flexibility to customize projects and workflows, Expertise in data labeling for AI domains, Global reach for language and cultural nuances, Secure platform to protect sensitive data.

On the other hand, Supervisely is a Ai Tools & Services product tagged with nocode, annotation, neural-networks, computer-vision, machine-learning.

Its standout features include Image annotation, Video annotation, 3D annotation, Model training, Model deployment, Collaboration, Version control, Integrations, and it shines with pros like No-code platform, Streamlines computer vision workflows, Robust annotation capabilities, Built-in model training, Team collaboration features, Integrates with popular frameworks.

Feature	Appen	Supervisely
Overall Score	N/A	N/A
Primary Category	Ai Tools & Services	Ai Tools & Services

Product Overview

Appen

Description: Appen is a web data annotation platform that helps train AI models by having a crowd of workers manually label data. Companies hire Appen to provide human annotated data.

Supervisely

Description: Supervisely is a no-code platform for computer vision and machine learning. It allows users to annotate data, train neural networks, and deploy models without coding. Supervisely streamlines computer vision workflows.

Key Features Comparison

Appen Features

• Data annotation platform for AI training
• Access to global crowd workforce for data labeling
• Image, text, speech and video data annotation
• Tools for data labeling and quality control
• Secure data management and IP protection

Supervisely Features

• Image annotation
• Video annotation
• 3D annotation
• Model training
• Model deployment
• Collaboration
• Version control
• Integrations

Pros & Cons Analysis

Appen

Pros

• Scalable workforce for large annotation projects
• Flexibility to customize projects and workflows
• Expertise in data labeling for AI domains
• Global reach for language and cultural nuances
• Secure platform to protect sensitive data

Cons

• Can be costly at scale compared to in-house labeling
• Quality control requires extra steps and monitoring
• Turnaround times can vary depending on task complexity
• Limited transparency into individual worker skills/accuracy
• Data privacy concerns when using external workforce

Supervisely

Pros

• No-code platform
• Streamlines computer vision workflows
• Robust annotation capabilities
• Built-in model training
• Team collaboration features
• Integrates with popular frameworks

Cons

• Steep learning curve
• Limited customization without coding
• No on-premise deployment option

Pricing Comparison

Appen

• Pay-As-You-Go

Supervisely

• Freemium
• Subscription-Based