Amazon SageMaker Ground Truth helps you build highly accurate training datasets for machine learning quickly. SageMaker Ground Truth offers easy access to public and private human labelers and provides them with built-in workflows and interfaces for common labeling tasks.
Categories in common with Appen:The hub of Clarifai’s technology is a high performance deep learning API on which a new generation of intelligent applications is being built. It enables Clarifai to combat everyday problems with high tech solutions by providing the most powerful machine learning systems to everyone in new and innovative ways.
Categories in common with Appen:Hive Data is a complete deeplearning toolkit that applies visual intelligence to difficult problems, changing the way businesses analyze unstructured visual data.
Categories in common with Appen:A complete training data platform for AI.
Categories in common with Appen:Playment is a AI and human intelligence platform for web-based tasks. It is designed to provide companies with a scalable and hassle free solution for their data operations with quality assurance.
Categories in common with Appen:A complete set of solutions for image and video annotation and an annotation service with integrated tooling, on-demand narrow expertise in various fields, and a custom neural network, automation, and training models powered by AI.
Categories in common with Appen:CloudFactory is a distributed workforce platform for automating business processes involving data entry, collection or processing.
Categories in common with Appen:Automated Image Annotation and Neural Network training. V7 Darwin is the most powerful platform to automatically create ground truth to enable AIs to learn. Trusted by the likes of Merck, GE Healthcare, and Stanford, our technology speeds up the creation of visual data labels by 10x.
Categories in common with Appen:An end-to-end cloud-based annotation platform, with embedded tools and automations for producing high-quality datasets more efficiently.
Categories in common with Appen:Datasaur offers the most intuitive interface for all your Natural Language Processing related tasks.
Categories in common with Appen:Super AI Compiler uses AI + Humans to generate, structure, and label any type of data.
Categories in common with Appen:Accelerate Time-to-training with Faster, Easier, High-quality Labeling
Categories in common with Appen:Diffgram has enabled companies to be fast and agile with deep learning workflow.
Categories in common with Appen:The Universal Data Tool is a web/desktop app for editing and annotating images, text, audio, documents and to view and edit any data defined in the extensible .udt.json and .udt.csv standard. Collaborate with others in real time, easily train labelers, integrate into your applications. Perform Image Segmentation, Image Classification, Audio Transcription, Named Entity Recognition (NER) and Named Entity Linking (NEL). Run with docker, use with Tensorflow, Keras, or Fast.ai.
Categories in common with Appen:Heartex is an annotations management system with UI configurable for your specific needs. Start using it and minimize the amount of time your entire team spends on preparing, analyzing, and labeling datasets for machine learning.
Categories in common with Appen:The BasicAI platform enables annotation of most types of unstructured data for a wide variety of industry applications and use cases.
Categories in common with Appen:At TrainingData.io, we build tools for ML/AI engineers. Marketplace for Validation Training Data for AI/ML Models.
Categories in common with Appen:Lionbridge partners with brands to break barriers and build bridges all over the world. For more than 20 years, we have helped companies connect with global customers by delivering marketing, testing and globalization services in more than 300 languages.
Categories in common with Appen:Edgecase is a data factory for A.I. companies providing both synthetic data and best in class data labeling and AI as a platform and service.
Categories in common with Appen:DefinedCrowd offers a platform that collects, refines and structures high quality training data for AI and MachineLearning systems.
Categories in common with Appen: