Use of AI and Machine Learning in Insurance Claims for Car Damage Detection

Automatic car damage detection in the insurance industry can be used to devise the claim process for faster processing with an advanced level of accuracy. The use of AI in insurance claims is only possible if the model is well-trained with annotated damaged cars with a huge amount and variety of training data sets. This is to detect the level of damage for accurate claims. Cogito provides training data for AI in insurance with precisely annotated images of different types of damaged vehicles that help Computer Vision to train the machine learning algorithms.

Image Annotation Types for Machine Learning and AI in Insurance Claims

Annotation for Vehicle Dent Detection

Annotation for Vehicle Dent Detection

Annotation for Damage Level Detection

Annotation for Damage Level Detection

Annotation for Damaged Car Body Parts

Annotation for Damaged Car Body Parts

Boundig Box in vehicle-damage detection

Bounding Box for Car Damage Detection

Semantic Segmentation for Car Damage

Semantic Segmentation for Car Damage

Video Annotation for Damage Detection

Video Annotation for Damage Detection

Cogito has gained expertise in diverse industries and also for the insurance sector, it is providing the training data sets in annotated image formats. The annotated images for AI insurance claims processing are created for a visual-based perception model to train the machine learning algorithms that can automatically detect such damages. Cogito is annotating the images of damaged vehicles with precise data labeling techniques and tools and providing the best quality training data for AI and machine learning in the insurance sector for automatic car damage detection.

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