Best Image Annotation Tools in India

Harness data science in order to enhance traditional knowledge and provide better health outcomes without bias for native communities. We're on mission to bridge data science, research, and medicine. We want to create a data science platform that is all-in-one for the medical and research industries. We want to revolutionize these fields with machine learning, generative AI and data science. Our platform allows you to manage, analyze, and classify your photo & videos. Automatically label images, extract insights and generate synthetic data using your work. Coming soon: features for bias detection and community collaboration. We want to create something for the social good. We aim to close the gap in accessibility of technology and ensure that the models we use are free of algorithmic biases, which are commonplace within technology.

Build and deploy deep-learning models for custom use scenarios. Our automated machine-learning process allows customers create powerful AI solutions based on our best-in class models and tailored to their specific challenges. Digital platforms can quickly create custom models that fit their guidelines and requirements. Build large language models to support specialized use cases, such as bots for customer and technical service. Create image classification models for better understanding image libraries, including search, organization and more.

DataVLab provides high-quality image annotation solutions and data labeling for AI.

The training data platform for AI teams. A machine learning model can only be as good as the training data it uses. Labelbox is an integrated platform that allows you to create and manage high quality training data in one place. It also supports your production pipeline with powerful APIs. A powerful image labeling tool for segmentation, object detection, and image classification. You need precise and intuitive image segmentation tools when every pixel is important. You can customize the tools to suit your particular use case, including custom attributes and more. The performant video labeling editor is for cutting-edge computer visual. Label directly on the video at 30 FPS, with frame level. Labelbox also provides per-frame analytics that allow you to create faster models. It's never been easier to create training data for natural language intelligence. You can quickly and easily label text strings, conversations, paragraphs, or documents with fast and customizable classification.

UHRS can help you with data validation, data validation, classification and sentiment analysis. We offer human intelligence to train machine-learning models to solve some of your most difficult problems. Judges can access UHRS from anywhere and at any time. All judges need is an internet connection and they are ready to go. You can complete tasks such as video annotation in a matter of minutes. UHRS makes it easy to classify thousands images quickly and efficiently. You can train your products and tools with improved boundary recognition, image detection, and other features using high-quality annotated data images. Classify images, semantic segmentation, object detection. Validating audio to speech, conversation, relevance. Identify the sentiment of a tweet and classify documents. Ad hoc data collection tasks, information correction/moderation, and survey.

We make data for the world's most valuable companies. Innodata solves your most difficult data engineering problems using artificial intelligence and human expertise. Innodata offers the services and solutions that you need to harness digital information at scale and drive digital disruption within your industry. We secure and efficiently collect and label sensitive data. This provides ground truth that is close to 100% for AI and ML models. Our API is simple to use and ingests unstructured data, such as contracts and medical records, and generates structured XML that conforms to schemas for downstream applications and analytics. We make sure that mission-critical databases are always accurate and up-to-date.