{ "model": "MatSAM", "source_code": "https://github.com/WUT-AI-AI4Mat/Segmentation-methods-evaluation-for-quantitative-microstructure-analysis", "checkpoint_count": 7, "checkpoints": [ { "dataset": "Aachen-Heerlen", "task": "binary_segmentation", "num_classes": 2, "fine_tuning_route": "lora_and_mask_decoder", "path": "checkpoints/Aachen-Heerlen/matsam_lora_decoder_best.pth", "size_bytes": 24253020, "sha256": "b653bd2b60f3b1da82aad7b8b09bda939b2249d0ada4eef129635352bdc59fd3", "requires_base_checkpoint": "sam_vit_h_4b8939.pth" }, { "dataset": "EBC", "task": "multiclass_semantic_segmentation", "num_classes": 3, "fine_tuning_route": "lora_mask_decoder_and_class_tokens", "path": "checkpoints/EBC/semantic_matsam_best.pth", "size_bytes": 24257839, "sha256": "4cdcc50b67df3e567790c116ad6090379df9570a15649abf54448ac0a4144f4d", "requires_base_checkpoint": "sam_vit_h_4b8939.pth" }, { "dataset": "EMPS", "task": "binary_segmentation", "num_classes": 2, "fine_tuning_route": "lora_and_mask_decoder", "path": "checkpoints/EMPS/matsam_lora_decoder_best.pth", "size_bytes": 24253020, "sha256": "6c064ced62399be872a053de16363273a01f37a771b0a421c669b5f8a72938ca", "requires_base_checkpoint": "sam_vit_h_4b8939.pth" }, { "dataset": "Grain", "task": "binary_segmentation", "num_classes": 2, "fine_tuning_route": "lora_and_mask_decoder", "path": "checkpoints/Grain/matsam_lora_decoder_best.pth", "size_bytes": 24253020, "sha256": "6a35b4767a1662616f593721002575ff829d44b79aa21541fb68b1242b58658b", "requires_base_checkpoint": "sam_vit_h_4b8939.pth" }, { "dataset": "MetalDAM", "task": "multiclass_semantic_segmentation", "num_classes": 5, "fine_tuning_route": "lora_mask_decoder_and_class_tokens", "path": "checkpoints/MetalDAM/semantic_matsam_best.pth", "size_bytes": 24259887, "sha256": "d8aa60fc9867addc3d6dc4492b034d3d900c1539a2a854807846f92f9cbb890d", "requires_base_checkpoint": "sam_vit_h_4b8939.pth" }, { "dataset": "Super", "task": "multiclass_semantic_segmentation", "num_classes": 3, "fine_tuning_route": "lora_mask_decoder_and_class_tokens", "path": "checkpoints/Super/semantic_matsam_best.pth", "size_bytes": 24257839, "sha256": "b76864b72435b9cb5b4808628011f0b8246e7260ba7e45d8a8c208244326b4cf", "requires_base_checkpoint": "sam_vit_h_4b8939.pth" }, { "dataset": "UHCS", "task": "multiclass_semantic_segmentation", "num_classes": 7, "fine_tuning_route": "lora_mask_decoder_and_class_tokens", "path": "checkpoints/UHCS/semantic_matsam_best.pth", "size_bytes": 24261935, "sha256": "66758c3d990a93dbffadd9241b0c7b66f91e362bf42851810275f9da85d60671", "requires_base_checkpoint": "sam_vit_h_4b8939.pth" } ] }