Image segmentation is a popular task in computer vision, with the goal of partitioning an input image into multiple regions, where each region represents a separate object. Several classic approaches from the past involved taking a model backbone (e.g., U-Net) and fine-tuning it on specialized datasets. While fine-tuning works well, the emergence of GPT-2 and […]

The post FastSAM  for Image Segmentation Tasks — Explained Simply appeared first on Towards Data Science.

​Image segmentation is a popular task in computer vision, with the goal of partitioning an input image into multiple regions, where each region represents a separate object. Several classic approaches from the past involved taking a model backbone (e.g., U-Net) and fine-tuning it on specialized datasets. While fine-tuning works well, the emergence of GPT-2 and
The post FastSAM  for Image Segmentation Tasks — Explained Simply appeared first on Towards Data Science.  Computer Vision, Image Analysis, Image Segmentation, Machine Learning, Yolo, Zero Shot Learning Towards Data ScienceRead More