model_id stringlengths 12 92 | model_card stringlengths 166 900k | model_labels listlengths 2 250 |
|---|---|---|
mujerry/deeplabv3-mobilevit-small_corm |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# deeplabv3-mobilevit-small_corm
This model is a fine-tuned version of [apple/deeplabv3-mobilevit-small](https://huggingface.co/ap... | [
"background",
"corm",
"damage"
] |
mujerry/segformer-b0-finetuned-cityscapes-1024-1024_corm |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b0-finetuned-cityscapes-1024-1024_corm
This model is a fine-tuned version of [nvidia/segformer-b0-finetuned-cityscapes... | [
"background",
"corm",
"damage"
] |
mujerry/segformer-b2-finetuned-ade-512-512_corm |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b2-finetuned-ade-512-512_corm
This model is a fine-tuned version of [nvidia/segformer-b2-finetuned-ade-512-512](https:... | [
"background",
"corm",
"damage"
] |
EPFL-ECEO/segformer-b2-finetuned-coralscapes-1024-1024 |
# Model Card for Model ID
SegFormer model with a MiT-B2 backbone fine-tuned on Coralscapes at resolution 1024x1024, as introduced in [The Coralscapes Dataset: Semantic Scene Understanding in Coral Reefs](https://arxiv.org/abs/2503.20000).
## Model Details
### Model Description
- **Model type:** SegFormer
- **Fine... | [
"0",
"1",
"2",
"3",
"4",
"5",
"6",
"7",
"8",
"9",
"10",
"11",
"12",
"13",
"14",
"15",
"16",
"17",
"18",
"19",
"20",
"21",
"22",
"23",
"24",
"25",
"26",
"27",
"28",
"29",
"30",
"31",
"32",
"33",
"34",
"35",
"36",
"37",
"38",
"39"
] |
mujerry/segformer-b4-finetuned-ade-512-512_corm |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b4-finetuned-ade-512-512_corm
This model is a fine-tuned version of [nvidia/segformer-b4-finetuned-ade-512-512](https:... | [
"background",
"corm",
"damage"
] |
digscom/table-transformer-page-segmentation-floorplan |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# table-transformer-page-segmentation-floorplan
This model was trained from scratch on an unknown dataset.
## Model description
... | [
"layer_non_floorplan",
"layer_floorplan"
] |
Supritha09/segformer-b0-finetuned-segments-sidewalk-oct-22 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b0-finetuned-segments-sidewalk-oct-22
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvi... | [
"unlabeled",
"flat-road",
"flat-sidewalk",
"flat-crosswalk",
"flat-cyclinglane",
"flat-parkingdriveway",
"flat-railtrack",
"flat-curb",
"human-person",
"human-rider",
"vehicle-car",
"vehicle-truck",
"vehicle-bus",
"vehicle-tramtrain",
"vehicle-motorcycle",
"vehicle-bicycle",
"vehicle... |
andro-flock/b2-semantic-segment |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# b2-semantic-segment
This model is a fine-tuned version of [andro-flock/b2-classification](https://huggingface.co/andro-flock/b2-... | [
"background",
"skin",
"hair"
] |
yeray142/finetune-instance-segmentation-ade20k-mini-mask2former |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetune-instance-segmentation-ade20k-mini-mask2former
This model is a fine-tuned version of [facebook/mask2former-swin-tiny-coc... | [
"car",
"person"
] |
yeray142/finetune-instance-segmentation-ade20k-mini-mask2former_augmentation |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetune-instance-segmentation-ade20k-mini-mask2former_augmentation
This model is a fine-tuned version of [facebook/mask2former-... | [
"car",
"person"
] |
yeray142/finetune-instance-segmentation-mini-mask2former_augmentation_default |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetune-instance-segmentation-mini-mask2former_augmentation_default
This model is a fine-tuned version of [facebook/mask2former... | [
"angular leafspot",
"anthracnose fruit rot",
"blossom blight",
"gray mold",
"leaf spot",
"powdery mildew fruit",
"powdery mildew leaf"
] |
yeray142/finetune-instance-segmentation-ade20k-mini-mask2former_backbone_frozen_1 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetune-instance-segmentation-ade20k-mini-mask2former_backbone_frozen_1
This model is a fine-tuned version of [facebook/mask2fo... | [
"car",
"person"
] |
yeray142/finetune-instance-segmentation-mini-mask2former_augmentation_default_backboneFrozen |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetune-instance-segmentation-mini-mask2former_augmentation_default_backboneFrozen
This model is a fine-tuned version of [faceb... | [
"angular leafspot",
"anthracnose fruit rot",
"blossom blight",
"gray mold",
"leaf spot",
"powdery mildew fruit",
"powdery mildew leaf"
] |
mujerry/mit-b0_necrosis |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mit-b0_necrosis
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the None dataset.... | [
"background",
"necrosis",
"root"
] |
EPFL-ECEO/segformer-b5-finetuned-coralscapes-1024-1024 |
# Model Card for Model ID
SegFormer model with a MiT-B5 backbone fine-tuned on Coralscapes at resolution 1024x1024, as introduced in [The Coralscapes Dataset: Semantic Scene Understanding in Coral Reefs](https://arxiv.org/abs/2503.20000).
## Model Details
### Model Description
- **Model type:** SegFormer
- **Fine... | [
"0",
"1",
"2",
"3",
"4",
"5",
"6",
"7",
"8",
"9",
"10",
"11",
"12",
"13",
"14",
"15",
"16",
"17",
"18",
"19",
"20",
"21",
"22",
"23",
"24",
"25",
"26",
"27",
"28",
"29",
"30",
"31",
"32",
"33",
"34",
"35",
"36",
"37",
"38",
"39"
] |
jhaberbe/segformer-b0-finetuned-lipid-droplets-v4 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b0-finetuned-lipid-droplets-v4
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit... | [
"unlabeled",
"lipid"
] |
jhaberbe/segformer-b0-finetuned-lipid-droplets-v5 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b0-finetuned-lipid-droplets-v5
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit... | [
"unlabeled",
"lipid",
"labeled_negative"
] |
Dnq2025/mask2former-finetuned-ER-Mito-LD |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mask2former-finetuned-ER-Mito-LD
This model is a fine-tuned version of [facebook/mask2former-swin-base-IN21k-ade-semantic](https... | [
"background",
"er",
"mito",
"ld"
] |
Dnq2025/mask2former-finetuned-ER-Mito-LD3 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mask2former-finetuned-ER-Mito-LD3
This model is a fine-tuned version of [facebook/mask2former-swin-base-IN21k-ade-semantic](http... | [
"background",
"er",
"mito",
"ld"
] |
Dnq2025/mask2former-finetuned-ER-Mito-LD4 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mask2former-finetuned-ER-Mito-LD4
This model is a fine-tuned version of [facebook/mask2former-swin-base-IN21k-ade-semantic](http... | [
"background",
"er",
"mito",
"ld"
] |
BigR-Oclock/segformer-b0-crop-detection |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b0-crop-detection
This model is a fine-tuned version of [nvidia/segformer-b0-finetuned-ade-512-512](https://hugg... | [
"background",
"crop"
] |
Godouche/segformer-b0-finetuned-segments-sidewalk-2 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b0-finetuned-segments-sidewalk-2
This model is a fine-tuned version of [pretrained_model_name](https://huggingface.co/... | [
"unlabeled",
"flat-road",
"flat-sidewalk",
"flat-crosswalk",
"flat-cyclinglane",
"flat-parkingdriveway",
"flat-railtrack",
"flat-curb",
"human-person",
"human-rider",
"vehicle-car",
"vehicle-truck",
"vehicle-bus",
"vehicle-tramtrain",
"vehicle-motorcycle",
"vehicle-bicycle",
"vehicle... |
mujerry/segformer-b0-finetuned-ade-512-512_necrosis |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b0-finetuned-ade-512-512_necrosis
This model is a fine-tuned version of [nvidia/segformer-b0-finetuned-ade-512-512](ht... | [
"background",
"necrosis",
"root"
] |
mujerry/segformer-b2-finetuned-ade-512-512_necrosis |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b2-finetuned-ade-512-512_necrosis
This model is a fine-tuned version of [nvidia/segformer-b2-finetuned-ade-512-512](ht... | [
"background",
"necrosis",
"root"
] |
Thibaut/route_background_semantic |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# route_background_semantic
This model is a fine-tuned version of [nvidia/segformer-b3-finetuned-cityscapes-1024-1024](https://hug... | [
"unlabeled",
"découpe",
"reflet météo",
"autre réparation",
"glaçage ou ressuage",
"emergence"
] |
mujerry/mit-b0-03-04-25-15-21_necrosis |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mit-b0-03-04-25-15-21_necrosis
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on th... | [
"background",
"necrosis",
"root"
] |
Dnq2025/mask2former-finetuned-ER-Mito-LD5 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mask2former-finetuned-ER-Mito-LD5
This model is a fine-tuned version of [facebook/mask2former-swin-base-IN21k-ade-semantic](http... | [
"background",
"er",
"mito",
"ld"
] |
mujerry/mit-b0_whitefly |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mit-b0_whitefly
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the None dataset.... | [
"background",
"whitefly"
] |
Logiroad/route_background_semantic_x2 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# route_background_semantic_x2
This model is a fine-tuned version of [Logiroad/route_background_semantic_x2](https://huggingface.c... | [
"unlabeled",
"découpe",
"reflet météo",
"autre réparation",
"glaçage ou ressuage",
"emergence"
] |
Dnq2025/mask2former-finetuned-ER-Mito-LD6 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mask2former-finetuned-ER-Mito-LD6
This model is a fine-tuned version of [facebook/mask2former-swin-base-IN21k-ade-semantic](http... | [
"background",
"er",
"mito",
"ld"
] |
Dnq2025/mask2former-finetuned-ER-Mito-LD7 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mask2former-finetuned-ER-Mito-LD7
This model is a fine-tuned version of [facebook/mask2former-swin-large-ade-semantic](https://h... | [
"background",
"er",
"mito",
"ld"
] |
TommyClas/phaseseg_models |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phaseseg_models
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the TommyClas/pha... | [
"背景",
"未水化水泥颗粒",
"孔隙",
"氢氧化钙",
"其他水化物"
] |
NICOPOI-9/segformer-b0-finetuned-morphpadver1-hgo-coord |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b0-finetuned-morphpadver1-hgo-coord
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co... | [
"0-0",
"0-90",
"90-0",
"90-90"
] |
jgerbscheid/segformer_b1-nlver_finetuned-1024-1024 |
# NL-aerial segmentation
This is a segformer segmentation model finetuned on random samples from the entire 41,000 square kilometer of aerial photography data, see [pdok aerial data](https://www.pdok.nl/introductie/-/article/pdok-luchtfoto-rgb-open-), and using the BGT, see [pdok BGT data](https://www.pdok.nl/introdu... | [
"background",
"waterdeel",
"pand",
"wegdeel",
"overbruggingsdeel",
"vegetatie"
] |
NICOPOI-9/segformer-b0-finetuned-morphpadver1-hgo-coord-v1 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b0-finetuned-morphpadver1-hgo-coord-v1
This model is a fine-tuned version of [nvidia/mit-b1](https://huggingface... | [
"0-0",
"0-90",
"90-0",
"90-90"
] |
NICOPOI-9/segformer-b0-finetuned-morphpadver1-hgo-coord-v2 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b0-finetuned-morphpadver1-hgo-coord-v2
This model is a fine-tuned version of [NICOPOI-9/segformer-b0-finetuned-m... | [
"0-0",
"0-90",
"90-0",
"90-90"
] |
NICOPOI-9/segformer-b0-finetuned-morphpadver1-hgo-coord-v3 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b0-finetuned-morphpadver1-hgo-coord-v3
This model is a fine-tuned version of [nvidia/mit-b3](https://huggingface... | [
"0-0",
"0-90",
"90-0",
"90-90"
] |
NICOPOI-9/segformer-b0-finetuned-morphpadver1-hgo-coord-v3_1 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b0-finetuned-morphpadver1-hgo-coord-v3_1
This model is a fine-tuned version of [nvidia/mit-b3](https://huggingfa... | [
"0-0",
"0-90",
"90-0",
"90-90"
] |
Dnq2025/swin-large-mask2former-finetuned-ER-Mito-LD8 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-large-mask2former-finetuned-ER-Mito-LD8
This model is a fine-tuned version of [facebook/mask2former-swin-large-ade-semantic... | [
"background",
"er",
"mito",
"ld"
] |
nagarajuthirupathi/indoor_window_detection |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# output1
This model is a fine-tuned version of [nagarajuthirupathi/window_detection_model](https://huggingface.co/nagarajuthirupa... | [
"floor",
"door",
"blinds",
"curtain",
"windowpane"
] |
nagarajuthirupathi/swf_trained_model |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# output1
This model is a fine-tuned version of [mukesh3444/window_detection_model](https://huggingface.co/mukesh3444/window_detec... | [
"wall",
"building",
"sky",
"floor",
"tree",
"ceiling",
"road, route",
"bed",
"window ",
"grass",
"cabinet",
"sidewalk, pavement",
"person",
"earth, ground",
"door",
"table",
"mountain, mount",
"plant",
"curtain",
"chair",
"car",
"water",
"painting, picture",
"sofa",
"... |
TommyClas/50d_seg_model_20250507 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 50d_seg_model_20250507
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the TommyC... | [
"背景",
"孔隙",
"ld c-s-h",
"hd c-s-h",
"未水化水泥颗粒"
] |
nagarajuthirupathi/test_model_nagaraju |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# output1
This model is a fine-tuned version of [mukesh3444/window_detection_model](https://huggingface.co/mukesh3444/window_detec... | [
"wall",
"building",
"sky",
"floor",
"tree",
"ceiling",
"road, route",
"bed",
"window ",
"grass",
"cabinet",
"sidewalk, pavement",
"person",
"earth, ground",
"door",
"table",
"mountain, mount",
"plant",
"curtain",
"chair",
"car",
"water",
"painting, picture",
"sofa",
"... |
Dnq2025/swin-large-mask2former-finetuned-Mitoliked-Mito-Innertongue |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-large-mask2former-finetuned-Mitoliked-Mito-Innertongue
This model is a fine-tuned version of [Dnq2025/swin-large-mask2forme... | [
"background",
" innertongue",
" mitochondria",
" mitolikeorganelle"
] |
PushkarA07/segformer-b0-finetuned-batch3-19May |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b0-finetuned-batch3-19May
This model is a fine-tuned version of [PushkarA07/segformer-b0-finetuned-batch2w5-15Dec](htt... | [
"normal",
"abnormality"
] |
Prajakta8/segformer-b0-finetuned-segments-sidewalk-oct-22 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b0-finetuned-segments-sidewalk-oct-22
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvi... | [
"unlabeled",
"flat-road",
"flat-sidewalk",
"flat-crosswalk",
"flat-cyclinglane",
"flat-parkingdriveway",
"flat-railtrack",
"flat-curb",
"human-person",
"human-rider",
"vehicle-car",
"vehicle-truck",
"vehicle-bus",
"vehicle-tramtrain",
"vehicle-motorcycle",
"vehicle-bicycle",
"vehicle... |
NICOPOI-9/segformer-b0-finetuned-morphpadver1-hgo-30-coord-v3_2 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b0-finetuned-morphpadver1-hgo-30-coord-v3_2
This model is a fine-tuned version of [nvidia/mit-b3](https://huggin... | [
"0-0",
"0-90",
"90-0",
"90-90"
] |
NICOPOI-9/segformer-b0-finetuned-morphpadver1-hgo-30-coord-v3_60epochs |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b0-finetuned-morphpadver1-hgo-30-coord-v3_60epochs
This model is a fine-tuned version of [nvidia/mit-b3](https:/... | [
"0-0",
"0-90",
"90-0",
"90-90"
] |
PushkarA07/segformer-b0-finetuned-batch3-26May |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b0-finetuned-batch3-26May
This model is a fine-tuned version of [PushkarA07/segformer-b0-finetuned-batch2w5-15Dec](htt... | [
"normal",
"abnormality"
] |
PushkarA07/segformer-b0-finetuned-batch3-26May-2 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b0-finetuned-batch3-26May-2
This model is a fine-tuned version of [PushkarA07/segformer-b0-finetuned-batch2w5-15Dec](h... | [
"normal",
"abnormality"
] |
NICOPOI-9/segformer-b0-finetuned-morphpadver1-hgo-30-coord-v3_120epochs |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b0-finetuned-morphpadver1-hgo-30-coord-v3_120epochs
This model is a fine-tuned version of [nvidia/mit-b3](https:... | [
"0-0",
"0-90",
"90-0",
"90-90"
] |
jenniferlumeng/sagittal-b0-finetuned-segments |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# sagittal-b0-finetuned-segments
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on th... | [
"background",
"olfactory bulb",
"anterior olfactory nucleus",
"basal ganglia",
"cortex",
"hypothalamus",
"thalamus",
"hippocampus",
"midbrain",
"cerebellum",
"pons and medulla"
] |
jenniferlumeng/sagittal-b4-finetuned-segments |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# sagittal-b4-finetuned-segments
This model is a fine-tuned version of [nvidia/mit-b4](https://huggingface.co/nvidia/mit-b4) on th... | [
"background",
"olfactory bulb",
"anterior olfactory nucleus",
"basal ganglia",
"cortex",
"hypothalamus",
"thalamus",
"hippocampus",
"midbrain",
"cerebellum",
"pons and medulla"
] |
fuji12345/segformer-finetuned-sidewalk-10k-steps |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-finetuned-sidewalk-10k-steps
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b... | [
"hallucination",
"normal"
] |
jenniferlumeng/sagittal-b4-v11-finetuned-segments |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# sagittal-b4-v11-finetuned-segments
This model is a fine-tuned version of [nvidia/mit-b4](https://huggingface.co/nvidia/mit-b4) o... | [
"background",
"olfactory bulb",
"anterior olfactory nucleus",
"basal ganglia",
"cortex",
"hypothalamus",
"thalamus",
"hippocampus",
"midbrain",
"cerebellum",
"pons and medulla"
] |
fuji12345/segformer-finetuned |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-finetuned
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the fuji12345... | [
"hallucination",
"normal"
] |
fuji12345/segformer-finetuned-e300 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-finetuned-e300
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the fuji... | [
"normal",
"hallucination"
] |
jenniferlumeng/umaxtools-b0-v01-finetuned-segments-outputs |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# umaxtools-b0-v01-finetuned-segments-outputs
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/... | [
"background",
"object"
] |
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