image segmentation
Leaf diseases reduce crop yields and impact food security. Finetuning SAM2 helps detect and segment diseased areas using deep learning. With a small dataset, we achieved 74% IoU, making early
This article explores the Segment Anything mode, a foundation model for image segmentation trained on 1.1 billion masks.
This article explores the process of image segmentation using Tensorflow Hub. These images have been pre-trained on large semantic segmentation datasets.
Moving away from traditional document scanners, learn how to create a Deep Learning-based Document Segmentation model using DeepLabv3 architecture in PyTorch.
If you are a Harry Potter fan like me, you would know what an Invisibility Cloak is. Yes! It’s the cloak which Harry Potter uses to become invisible. Of course,
In Computer Vision, the term “image segmentation” or simply “segmentation” refers to dividing the image into groups of pixels based on some criteria. A segmentation algorithm takes an image as
