Hive Data is not the only option for Data Labeling Software. Explore other competing options and alternatives. Other important factors to consider when researching alternatives to Hive Data include tasks. The best overall Hive Data alternative is SuperAnnotate. Other similar apps like Hive Data are Clarifai, Prolific, Amazon Sagemaker Ground Truth, and Labelbox. Hive Data alternatives can be found in Data Labeling Software but may also be in Emotion AI Software or User Research Tools.
SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing your AI models faster with the highest-quality training data.
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.
We help facilitate a higher standard of online research. Conduct research with 130,000+ vetted participants and gain insights you can rely on.
A complete training data platform for AI.
An end-to-end cloud-based annotation platform, with embedded tools and automations for producing high-quality datasets more efficiently.
Extract, transform, load for computer vision. Your datasets in every format. Balanced, labeled, versioned.
V7 Darwin is a data labeling platform used by AI developers who need to train specialized computer vision models. It supports diverse data types, including images, videos, and medical imaging formats like DICOM or WSI. The platform offers AI-assisted labeling, data management, and workflow orchestration tools to help companies, clinics, and research labs create high-quality training data for building sophisticated AI solutions. It is especially useful for managing complex review processes and real-time collaboration between multiple teams of annotators, engineers, and domain experts. V7 Darwin integrates with popular ML frameworks and infrastructure and maintains high security and compliance standards (SOC 2, HIPAA), which makes it suitable for industries such as healthcare, retail, security, and manufacturing.
Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Our expertise includes having a global crowd of over 1 million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. Founded in 1996, Appen has customers and offices globally.
Machine learning and data operations teams of all sizes use Encord's collaborative applications, automation features, and APIs to annotate, manage, and evaluate their datasets for computer vision.