Supervisely vs Appen

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

Supervisely is a Ai Tools & Services solution with tags like nocode, annotation, neural-networks, computer-vision, machine-learning.

It boasts features such as Image annotation, Video annotation, 3D annotation, Model training, Model deployment, Collaboration, Version control, Integrations and pros including No-code platform, Streamlines computer vision workflows, Robust annotation capabilities, Built-in model training, Team collaboration features, Integrates with popular frameworks.

On the other hand, Appen is a Ai Tools & Services product tagged with data-annotation, ai-training, machine-learning.

Its standout features include 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 it shines with pros like 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.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Supervisely

Supervisely

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.

Categories:
Ai Tools & Services Computer Vision
nocode annotation neural-networks computer-vision machine-learning

Supervisely Features

  1. Image annotation
  2. Video annotation
  3. 3D annotation
  4. Model training
  5. Model deployment
  6. Collaboration
  7. Version control
  8. Integrations

Pricing

  • Freemium
  • Subscription-Based

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

Appen

Appen

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.

Categories:
Ai Tools & Services Data Annotation
data-annotation ai-training machine-learning

Appen Features

  1. Data annotation platform for AI training
  2. Access to global crowd workforce for data labeling
  3. Image, text, speech and video data annotation
  4. Tools for data labeling and quality control
  5. Secure data management and IP protection

Pricing

  • Pay-As-You-Go

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