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Segmentation
Classification
OCR
High accuracy and diverse training data means high quality, quick to deploy AI models. Annotate a dataset today for Unstructured Data, Image or Point Cloud.
We take on the challenge in creating annotated datasets for no-so-obvious physical events such as complicated-to-model processes, trends in physical phenomena, and unstructured datasets that relate to businesses or processes.
We generate annotated datasets to train models that run on constrained resources.
Our approach maximizes the ROI for your product while minimizing the solution cost.
We take on the challenge in creating annotated datasets for no-so-obvious physical events such as complicated-to-model processes, trends in physical phenomena, and unstructured datasets that relate to businesses or processes. We generate annotated datasets to train models that run on constrained resources.
Our approach maximizes the ROI for your product while minimizing the solution cost.
High accuracy and diverse training data means high quality, quick to deploy AI models. Annotate a dataset today for Unstructured Data, Image or Point Cloud.
We take on the challenge in creating annotated datasets for no-so-obvious physical events such as complicated-to-model processes, trends in physical phenomena, and unstructured datasets that relate to businesses or processes.
We generate annotated datasets to train models that run on constrained resources.
Our approach maximizes the ROI for your product while minimizing the solution cost.
We take on the challenge in creating annotated datasets for no-so-obvious physical events such as complicated-to-model processes, trends in physical phenomena, and unstructured datasets that relate to businesses or processes. We generate annotated datasets to train models that run on constrained resources.
Our approach maximizes the ROI for your product while minimizing the solution cost.
Robotic Process Automation (RPA): RPA involves AI-powered software robots that automate repetitive and rule-based tasks, such as data entry, form filling, or invoice processing.
Automated Optical Inspection (AOI) systems: AOI systems use AI-powered vision technology to inspect and identify defects in manufactured products, such as PCBs or semiconductors.
Self-driving vehicles: Autonomous vehicles use AI to analyze sensor data, make decisions, and control their movements. Visual examples include videos of self-driving cars navigating roads, avoiding obstacles, and making decisions in real-time.
AI-assisted drone inspections: Drones equipped with AI-powered vision systems can inspect infrastructure, such as power lines, bridges, or wind turbines, for damage or maintenance needs.
Warehouse automation: AI-powered robots are used in warehouses to sort, move, and manage inventory.
AI-powered customer service: AI chatbots or virtual assistants can handle customer inquiries, provide support, and complete tasks.
Machine learning-based image recognition: AI algorithms can identify and classify objects in images or videos, which can be used in various applications, such as security, quality control, or medical diagnostics.
