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ACCEL
Instant Model Validation with Real-Time Feedback
Accel is a lightweight validation platform helping computer vision teams train models using Full Synthetic or Hybrid Synthetic Data efficiently.
It bridges dataset generation and model performance, enabling streamlined training, precise evaluation, and actionable feedback, all in one place to accelerate model improvement.
ACCEL
Smarter Validation, Continuous Improvement
Accel empowers vision AI teams with tools to visualise performance, fix weaknesses, manage datasets, and extend capabilities, all in one platform.
Detection Result Validation
Accel visualises prediction outputs with overlays, metrics, and side-by-side comparisons to help you validate accuracy and spot errors.
Iterative Improvement with MCP Agent
Accel analyses failure patterns and recommends new scenes, angles, and classes to improve weak spots through guided feedback loops.
Dataset Management
Accel helps you filter, version, and review annotations while tracking dataset coverage to ensure training data is both complete and diverse.
Developer Tools & Extensibility
With API access and plugin support, Accel integrates seamlessly into your stack and allows metric tracking tailored to your model’s needs.
ACCEL
Evaluate in Motion, Improve with Precision
Instead of acting as video analytics platform, Accel integrates directly with your model testing pipeline to flag weaknesses and improve detection accuracy with confidence.
Safety & Interaction Monitoring
Assess PPE compliance, object handling, and motion-based tasks to verify real-time detection accuracy in complex scenes.
Dynamic Model Testing
Instantly evaluate model performance in ever-changing environments to ensure adaptability and robustness.
Scenario-Based Weakness Detection
Flag model weaknesses based on lighting conditions, angles, or environment types to uncover failure points and refine datasets.
Resources
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The dawn of AI: Transforming Human Interaction!
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