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)

Cloud AutoML is described as 'Helps you easily train high quality custom machine learning models with limited machine learning expertise needed' and is an website in the development category. There are more than 10 alternatives to Cloud AutoML, not only websites but also apps for a variety of platforms, including Mac, Linux, SaaS and Windows apps. The best Cloud AutoML alternative is TensorFlow, which is both free and Open Source. Other great sites and apps similar to Cloud AutoML are Nanonets, TFLearn, Keras and HyperLabel.
The platform for computer vision experts to iterate more quickly between data labeling, model training and failure case discovery.

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.
MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dependency scheduler that automatically parallelizes both...
Eclipse Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Apache Spark, DL4J brings AI to business environments for use on distributed GPUs and CPUs.
Extract PDF data to JSON format with our automated tool. No manual intervention is required.
