Japanese Vision-Language Model
「NABLA-VL」
One AI to understand and analyze all your visual content—images and videos.
NABLA-VL is a large-scale visual language model (VLM) capable of performing multiple tasks—such as classification, detection, and caption generation—from image and video inputs using a single AI system. Optimized for complex multimodal content, it delivers high accuracy even with limited or unlabeled data. NABLA-VL streamlines the use of visual data across industries and supports decision-making and operational efficiency on the ground.
Use Cases
Discover how this solution can be applied in various scenarios.
Visual Inspection Automation
Detect surface defects from images to improve inspection efficiency and quality.
Medical Image Analysis for Diagnostic Support
Supports diagnosis and research by identifying features in CT, X-ray, and microscope images.
Satellite Image Analysis
Monitor land changes, disaster damage, and crop conditions at scale.
Solution Features
Learn about the key features that make this solution effective.
High Accuracy with Minimal Data
A Japan-built VLM optimized for Japanese and video inputs, delivering stable performance even with limited or unlabeled data.
Customizable and
In-House Developed
Developed entirely in-house, NABLA-VL is highly adaptable to specific industry and business needs, backed by deep development expertise.
Multimodal:
Image & Video Understanding
Process both images and videos, handling tasks such as classification, detection, and caption generation with a single AI model.
*Proven High Accuracy in Japan
Achieved a score of 0.4515 on JMMMU, a benchmark for multimodal AI
—ranking among the top-performing models developed in Japan.
Pickup!
Featured: Food Industry Use Case
We are developing a demo using NABLA-VL.food, a specialized model that visualizes food trends from images and videos.
Promotion video
Please feel free to contact us about our technology or the use of demo.
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