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Webinar: How to Achieve SOTA Accuracy & Runtime for Semantic Segmentation Models

By Deci
Product Team

July 13, 2022
2 min read

Semantic segmentation models are increasingly being used in edge applications including autonomous driving, healthcare, precision agriculture, and IoT-enabled devices.

Watch this webinar with Ofer Baratz, product manager at Deci, to learn about:

Best practices for training semantic segmentation models
How to apply transfer learning in training segmentation models
Open source proven recipes of common models with SOTA results
Performance benchmarks of real-world applications of semantic segmentation models built with Neural Architecture Search

Get started with semantic segmentation today. Go to SuperGradients on GitHub.

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					from transformers import AutoFeatureExtractor, AutoModelForImageClassification

extractor = AutoFeatureExtractor.from_pretrained("microsoft/resnet-50")

model = AutoModelForImageClassification.from_pretrained("microsoft/resnet-50")

Webinar: How to Achieve SOTA Accuracy & Runtime for Semantic Segmentation Models

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