Playment is not the only option for Data Labeling Software. Explore other competing options and alternatives. Data Labeling Software is a widely used technology, and many people are seeking easy to use, high quality software solutions with pre-built algorithms, model training, and computer vision. Other important factors to consider when researching alternatives to Playment include automation and project management. The best overall Playment alternative is SuperAnnotate. Other similar apps like Playment are Prolific, Roboflow, Dataloop, and Labelbox. Playment alternatives can be found in Data Labeling Software but may also be in User Research Tools or Image Recognition Software.
SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing your AI models faster with the highest-quality training data.
We help facilitate a higher standard of online research. Conduct research with 130,000+ vetted participants and gain insights you can rely on.
Extract, transform, load for computer vision. Your datasets in every format. Balanced, labeled, versioned.
A complete training data platform for AI.
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.
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.
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.
Today's challenge to train machine learning models is not to get the data itself - but to get the clean labelled data - to avoid having a "garbage in garbage out" loop. While current digital transformation by AI is powered by machine learning models, this process of data annotation becomes critical. Kili Technology serves as the training data solution to facilitate data annotation for image, video and text for various Computer Vision and NLP tasks with a robust tool to manage data quality and simplify collaboration.
Hive Data is a complete deeplearning toolkit that applies visual intelligence to difficult problems, changing the way businesses analyze unstructured visual data.