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The main features of skytnt/anime-segmentation are: Image segmentation.
Projects with overlapping indexed features include: chaoningzhang/mobilesam — MobileSAM is a lightweight image segmenter and promptable vision model designed for fast object isolation on… chongzhou96/edgesam — Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM". davidtvs/pytorch-enet. facebookresearch/segment-anything — This project provides a deep learning architecture designed to identify and isolate distinct objects within images by… facebookresearch/segment-anything-2. casia-iva-lab/fastsam.
MobileSAM is a lightweight image segmenter and promptable vision model designed for fast object isolation on resource-constrained hardware. It functions as an automatic image masking tool capable of detecting and isolating distinct objects across an entire image without manual input. The system enables prompt-based object masking using coordinate points or bounding boxes to generate precise masks. It also supports all-object image segmentation through object-aware prompt sampling to identify every distinct object in a scene. To facilitate mobile and edge deployment, the model is compatible w
Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"