# Instance Segmentation

This is a Mask2Former instance segmentation model fine-tuned on the ADE20K-mini dataset, capable of identifying and segmenting different object instances in images.

This is a Mask2Former model fine-tuned on the ADE20K-mini dataset, specifically designed for instance segmentation tasks, capable of identifying 'person' and 'car' categories in images.

Mask2Former is a Transformer-based universal image segmentation model, fine-tuned on the COCO dataset for instance segmentation tasks

Mask2Former is a Transformer-based general-purpose image segmentation model that unifies instance, semantic, and panoptic segmentation tasks.

Mask2Former is a general-purpose image segmentation model based on Transformer architecture, this version is specifically fine-tuned for instance segmentation tasks on the Cityscapes dataset

Mask2Former is a unified image segmentation model based on Transformer, using mask attention mechanism to improve performance