A complete solution for your training data problem with fast labeling tools, human workforce, data management, a powerful API and automation features.
Cost / License
- Paid
- Proprietary
Platforms
- Online
+1
Prodigy ML Alternatives
Apps similar to Prodigy ML include UniversalDataTool, which is free and open source. Other options are Argilla, Amazon SageMaker Data Labeling, VGG Image Annotator (VIA) and Meta SAM 2. You can choose from more than 10 apps like Prodigy ML for the web, self-hosting, Windows, Linux and Mac.
Alternatives list
Deep Block is the world's fastest AI-powered remote sensing imagery analysis solution. Train your own AI models to detect instantly any objects in large satellite, aerial, and drone images. With its no-code data labeling interface, you can achieve your MLOps projects in...
Cost / License
- Paid
- Proprietary
Platforms
- Software as a Service (SaaS)
Cost / License
- Paid
- Proprietary
Platforms
- Windows
- Online
- Software as a Service (SaaS)
Edgecase.ai offers a full suite of services and software for data annotation, synthetic data and AI services. From dedicated professionals, to medical professionals, agronomists and other sectors.
Cost / License
- Paid
- Proprietary
Platforms
- Online
- Self-Hosted
- Software as a Service (SaaS)
The platform for computer vision experts to iterate more quickly between data labeling, model training and failure case discovery.
Cost / License
- Paid
- Proprietary
Platforms
- Online
- Software as a Service (SaaS)
A single application for all your vision AI needs Everything you need to go from raw images or videos to production-ready model in one tool. No MLops skills or tricky integrations needed.
Cost / License
- Paid
- Proprietary
Platforms
- Online
+1
Data labeling tool for various data types with a customizable interface, annotation team management, and automatic labeling through active learning.
Cost / License
- Paid
- Proprietary
Platforms
- Self-Hosted
- Software as a Service (SaaS)
No-code tool for generative image data augmentation helping to improve the accuracy of an AI model without changing the network architecture.
Cost / License
- Paid
- Proprietary
Platforms
- Online
- Software as a Service (SaaS)
