Semantic Segmentation with KerasCV: Train DeepLabv3+ for Waterbodies

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Join us as we dive into the world of semantic segmentation with KerasCV, utilizing the powerful DeepLabv3+ model!
Following our exploration of the Keras CV library (Links below) and the customization of the YOLOV8 model for object detection, this week we shift our focus to semantic segmentation.
We're taking you step-by-step through training DeepLabV3+ on a unique dataset: satellite imagery of water bodies.

Discover how to fine-tune a segmentation model to accurately identify and outline water bodies from above. This technique is invaluable for applications in surveying and drone imaging, offering insights into landscape analysis and environmental monitoring.

Don't miss out on the chance to enhance your skills in cutting-edge AI and image processing – all using the versatility of KerasCV!

Missed our previous session? We covered an in-depth overview of the KerasCV library last week. Ensure to check it out!
📚KerasCV Unveiled: Universal Tool for ...
📚Training YOLOv8 with KerasCV on Custo...


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8 ماه پیش در تاریخ 1402/08/15 منتشر شده است.
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