Computer Vision

Not Defected

Defected

Classification

Our platform elevates image classification with advanced analytics and rigorous testing, ensuring high-quality data and robust algorithms that meet industry standards for consistent and reliable classification.

Model Bias

Detailed reports on accuracy metrics like precision, recall, and F1-score, providing insights into the model's performance.

Confusion Matrix

Tools to generate and visualize confusion matrices, helping to identify misclassifications and areas for improvement.

Cross-Validation

Implementation of cross-validation methods to ensure the model's robustness and generalization capabilities.

Adversarial Testing

Ability to test models against adversarial examples to evaluate model robustness against potential real-world manipulation or errors.

Object Detection

Identify weaknesses in object detection models under various scenarios.
Enables targeted improvements to boost the model's reliability and robustness.
Refines detection precision, reducing errors and enhancing operational efficiency.

Intersection over Union

IoU metrics to evaluate how accurately the model detects and overlaps with actual objects.

Out of Distribution

Fine-tune a pre-trained model to recognize and respond to unseen objects and new scenarios.

Generalization

Enhances generalization across different environments, ensuring reliable detection in real-world applications.

Precision-Recall

Optimizes the trade-off between precision and recall, crucial for accuracy in diverse detection environments.

Segmentation

Our rigorous testing protocols refine segmentation models to deliver precise delineation of objects, enhancing metrics crucial for advanced image analysis and application.

Semantic & Logical

Merges semantic understanding with logical partitioning to segment images by object identities and their contextual relationships.

Dice Score

Improves the Dice coefficient by refining the model to accurately classify pixels, enhancing similarity measurement.

Pixel Accuracy

Increases pixel-level accuracy for precise boundary detection and segmentation sharpness.

Boundary Precision

Strengthens edge detection capabilities for clear distinction of object boundaries in complex images.