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.
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.
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.
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.
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.
Labeling AI is a deep learning-based technology that automatically labels large amounts of data based on a small amount of pre-labeled data available. Labeling AI is an innovative tool that can save your time. Auto labeling performs the labeling process of large datasets with minimal human intervention, required only to review the auto labeled data. Here is how it works in 3 simple steps: 1. Labeling Manually - Manually generate 100 labeled data. 2. Training Model - Train an auto labeling AI with the 100 pre-labeled data. Review and correct the results to enhance auto labeling performance. 3. Deploy the best AI - Repeat the previous step to generate 1,000, 10,000, or 100,000 auto-labeled data. Transform your auto labeling AI into an object detection AI model to perform object detection as needed. Labeling AI offers a variety of options to easily label your data, including bounding and polygon tools.
TaQadam means Progress. TaQadam is a female founded startup that aims to advance economic opportunity for youth and democratize GEO-AI. TaQadam develops imagery solutions for market intelligence, monitoring and measuring of business risks and vulnerabilities. We believe the development of a global map of physical assets and infrastructure is essential in today’s context. Identifying assets (e.g. mines, farm equipment, schools) and their features (e.g. cooling, water tanks, construction materials) is a way to build alternative data for sustainable growth and risk mitigation. Extending an economic opportunity to disadvantaged youth through our image annotation work is at the core of our business.
Supervisely Enterprise is fully self-hosted and cloud frendly: install it on your servers or in the cloud, keep everything private. We provide API, SDK and backend source codes. So it is highly customizable and can be integrated into any technology stack.