Damage Assessment (Drones)

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Training Data

Accuracy98%

Precision0.99

Recall0.99

Response Time3 s

What does the model do

Use drone images to locate rooftops and find their area, severity of damages using object detection and image segmentation and detect fraud in images.

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How you can customize

Customize the model for different view-points, altitudes, climate conditions like cloud cover.

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The Nanonets Process

How to build your own custom model

Create

Upload

Annotate

Integrate

Begin the process by adding the categories of text you want to detect
Upload 50 images of each text category you want to digitize
Annotate your images by drawing bounding boxes around the text and typing out the characters
Training your model takes 1-2 hours and you will be notified once it’s done

Why Nanonets?

No manual setup

Nanonets OCR generalizes across many invoice formats. As opposed to traditional OCR technologies which require a lot of manual tooling and template creation, reduce post processing and turn around times.

Consistent

Cut down the manual inspection time from hours to seconds using AI-powered automation. Analyze each image in milliseconds, maximizing the time for taking corrective measures which can also help increase throughput.

On-Premise

Deploy trained models on-prem using Docker images ensuring that your data does not have to leave your network or deploy models on our production optimized cloud instances for maximum performance.

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