3D Simulated Sensor Image
lABELED DATASETS
Pixel-Perfect Labels & Scenario Metadata
Simulate Every Maritime Condition Before Deployment
Generate high-quality labeled datasets that enable precise range estimation for object detection, automatic target recognition ( ATR ), collision avoidance, and safe navigation through congested waterways or narrow channels. Help maritime AI teams to accurately estimate distance and depth between vessels, floating obstacles, and shoreline structures in complex maritime environments.
Evaluate autonomous vessel behavior across mission timelines using synthetic time-series scenarios. Simulate changing sea states, vessel traffic, and sensor noise to reflect changing conditions. Continuously evaluate perception and navigation performance, using the F1 score to measure detection accuracy for robust USV operations.
Train AI models for fine-grained classification using high-quality synthetic maritime datasets built for precision. Accurately distinguish between similar vessel types, objects, and rare edge cases. Capturing subtle visual cues helps AI make better navigation decisions, increase operational reliability and reduce the risk of collisions.
Train USVs to operate in high sea states and extreme conditions using synthetic data that replicates high waves and real-world environmental effects. Improve detection accuracy with labeled synthetic data that reduces training time and ensures reliable performance across all operational conditions.
Enable port monitoring and vessel detection in low-visibility, night-time conditions using a combination of fused Radar, Thermal, LiDAR, SAR, RGB, Stereo, SWIR, and MWIR sensors. Detect and track multiple vessels and unlit obstacles in congested harbor environments.
Advanced maritime AI enables real-time obstacle detection and collision monitoring in busy shipping lanes. Identify floating debris, buoys, and small craft with high accuracy and use predictive trajectory modeling to flag high-risk obstacles and trigger timely collision alerts for evasive action.
Asset library: Drag-and-Drop
Drag and drop from a curated library of commercial vessels, including oil tankers, container ships, bulk carriers, cruise liners, ferries, LPG tankers, cargo ships, and tugboats alongside defense vessels such as aircraft carriers, destroyers, frigates, submarines, patrol vessels, and minesweepers.
Access maritime drones like USVs and a wide range of floating objects, including buoys, inflatables, and debris. Each asset is enriched with structured metadata to help teams build and train accurate maritime AI systems using high-quality synthetic data.
Use a point-and-click interface to position vessels, set traffic patterns, configure sensor placements, and adjust conditions, no coding required. Generate thousands of labeled training images to improve model performance and reliability, reducing the frequency of manual takeovers.
Automated Data Labeling for Maritime AI
Maritime Surveillance from Satellites
Detect approaching military vessels using computer vision models trained on synthetic multi-sensor data designed for all-weather maritime defense scenarios. Deploy virtual USVs for port defense patrols, simulating continuous surveillance coverage to detect and respond to potential intrusion threats.
Simulate large-scale port security and coastal defense environments with high fidelity to recreate complex maritime scenarios. Train AI systems for Intelligence, Surveillance, and Reconnaissance (ISR), enabling real-time threat detection, anomaly identification, and coordinated response across dynamic maritime domains.
Leverage multi-modal synthetic data combining visual, thermal, and radar signatures to help the Navy and maritime security forces distinguish between civilian and military vessels while simulating real-world scenarios such as piracy, smuggling, illegal fishing, unauthorized crossings, and suspicious vessel activity in territorial waters.
Detect navigational hazards like floating debris, damaged buoys, and uncharted obstacles with AI-trained maritime systems. Synthetic maritime generation recreates rough seas, low visibility, and congested shipping lanes, enabling early risk identification.
Train maritime AI systems to detect marine mammals such as breaching whales and dolphins, often traveling in pods, across diverse ocean conditions. Simulate varying sea states, lighting, and perspectives to strengthen wildlife detection capabilities and enable safer, more compliant maritime operations.
FEATURES
Build Robust Maritime AI In Record Time
sCENARIOS
Ensure your AI systems aren’t missing detections of high-risk obstacles without waiting weeks to send another boat out for data collection. With Bifrost you can generate data across a variety of critical conditions - from varying visibility conditions, congestion levels, sea states and across a range of marine targets.
EDGE CASES
Bifrost gives you access to hundreds of assets - from floating obstacles, buoys, inflatables, kayaks, and persons overboard - to populate your maritime scenarios. Can't find what you need? Upload your own or have us generate custom assets to meet to your exact specifications.
SENSOR
Our range of pre-build sensors (RGB, Stereo, SWIR, MWIR) are easily configurable to match your existing autonomy stack and sensor fusion specifications. Match your view angles, environmental effects (fog, mist or lens flare) or recreate multi-sensor arrangements.
cONSISTENCY
Don’t waste hours sifting through raw footage, coordinating with external labeling partners and doing QA. Focus on what you do best and generating the exact data you need, whenever you need it. All data generated comes perfectly labeled and immediately ready for training.
rOI
Save up to 50% of data-related costs by leveraging Bifrost. Scale to hundreds of fine-grained classes without having to worry about exploding data budgets.
