pipeline_tag: image-classification
base_model:
- timm/convformer_m36.sail_in22k_ft_in1k
- timm/convformer_s36.sail_in1k_384
- timm/convmixer_1024_20_ks9_p14.in1k
- timm/convnext_nano.r384_in12k_ft_in1k
- timm/convnext_pico.d1_in1k
- timm/convnextv2_atto.fcmae_ft_in1k
- timm/ecaresnet50t.a1_in1k
- timm/efficientnet_b5.sw_in12k
- timm/efficientvit_b1.r256_in1k
- timm/efficientvit_b2.r256_in1k
- timm/efficientvit_l1.r224_in1k
- timm/fbnetv3_b.ra2_in1k
- timm/ghostnetv2_100.in1k
- timm/hardcorenas_f.miil_green_in1k
- timm/hgnetv2_b3.ssld_stage1_in22k_in1k
- timm/hgnetv2_b4.ssld_stage2_ft_in1k
- timm/inception_resnet_v2.tf_in1k
- timm/mobilenetv2_100.ra_in1k
- timm/mobilevitv2_050.cvnets_in1k
- timm/nextvit_base.bd_in1k
- timm/regnetx_080.tv2_in1k
- timm/repghostnet_050.in1k
- timm/repvgg_b1.rvgg_in1k
- timm/resnetaa50.a1h_in1k
- timm/resnetv2_101x1_bit.goog_in21k_ft_in1k
- timm/rexnetr_300.sw_in12k_ft_in1k
- timm/swin_base_patch4_window7_224.ms_in1k
- timm/vit_base_patch16_clip_384.laion2b_ft_in12k_in1k
- timm/vit_base_r50_s16_384.orig_in21k_ft_in1k
- timm/vit_little_patch16_reg4_gap_256.sbb_in1k
- timm/xcit_small_24_p16_224.fb_in1k
language:
- en
tags:
- timm
- image
- dghs-realutils
library_name: dghs-imgutils
ONNX export version from TIMM.
Models
31 models exported from TIMM in total.
ByobNet
2 models with model class ByobNet
.
Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
---|---|---|---|---|---|---|---|---|---|---|
repvgg_b1.rvgg_in1k | 57.3M | 13.1G | 224 | True | 2048 | 1000 | imagenet-1k | ByobNet | repvgg_b1 | 2023-03-22 |
mobilevitv2_050.cvnets_in1k | 1.4M | 464.6M | 256 | True | 256 | 1000 | imagenet-1k | ByobNet | mobilevitv2_050 | 2023-04-24 |
ConvMixer
1 model with model class ConvMixer
.
Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
---|---|---|---|---|---|---|---|---|---|---|
convmixer_1024_20_ks9_p14.in1k | 24.4M | 6.0G | 224 | True | 1024 | 1000 | imagenet-1k | ConvMixer | convmixer_1024_20_ks9_p14 | 2023-04-24 |
ConvNeXt
3 models with model class ConvNeXt
.
Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
---|---|---|---|---|---|---|---|---|---|---|
convnext_nano.r384_in12k_ft_in1k | 15.6M | 7.2G | 384 | True | 640 | 1000 | imagenet-1k | ConvNeXt | convnext_nano | 2024-12-31 |
convnext_pico.d1_in1k | 9.0M | 1.4G | 224 | True | 512 | 1000 | imagenet-1k | ConvNeXt | convnext_pico | 2022-12-13 |
convnextv2_atto.fcmae_ft_in1k | 3.7M | 547.3M | 224 | True | 320 | 1000 | imagenet-1k | ConvNeXt | convnextv2_atto | 2023-01-05 |
EfficientNet
2 models with model class EfficientNet
.
Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
---|---|---|---|---|---|---|---|---|---|---|
efficientnet_b5.sw_in12k | 52.4M | 8.1G | 416 | True | 2048 | 11821 | imagenet-12k | EfficientNet | efficientnet_b5 | 2022-12-12 |
mobilenetv2_100.ra_in1k | 3.5M | 300.8M | 224 | True | 1280 | 1000 | imagenet-1k | EfficientNet | mobilenetv2_100 | 2022-12-13 |
EfficientVit
2 models with model class EfficientVit
.
Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
---|---|---|---|---|---|---|---|---|---|---|
efficientvit_b2.r256_in1k | 24.3M | 2.1G | 256 | True | 2560 | 1000 | imagenet-1k | EfficientVit | efficientvit_b2 | 2023-08-18 |
efficientvit_b1.r256_in1k | 9.1M | 689.0M | 256 | True | 1600 | 1000 | imagenet-1k | EfficientVit | efficientvit_b1 | 2023-08-18 |
EfficientVitLarge
1 model with model class EfficientVitLarge
.
Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
---|---|---|---|---|---|---|---|---|---|---|
efficientvit_l1.r224_in1k | 52.7M | 5.3G | 224 | True | 3200 | 1000 | imagenet-1k | EfficientVitLarge | efficientvit_l1 | 2023-11-21 |
GhostNet
1 model with model class GhostNet
.
Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
---|---|---|---|---|---|---|---|---|---|---|
ghostnetv2_100.in1k | 4.9M | 183.8M | 224 | True | 1280 | 1000 | imagenet-1k | GhostNet | ghostnetv2_100 | 2023-08-20 |
HighPerfGpuNet
2 models with model class HighPerfGpuNet
.
Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
---|---|---|---|---|---|---|---|---|---|---|
hgnetv2_b4.ssld_stage2_ft_in1k | 19.8M | 2.8G | 224 | True | 2048 | 1000 | imagenet-1k | HighPerfGpuNet | hgnetv2_b4 | 2024-02-12 |
hgnetv2_b3.ssld_stage1_in22k_in1k | 16.3M | 1.8G | 224 | True | 2048 | 1000 | imagenet-1k | HighPerfGpuNet | hgnetv2_b3 | 2024-02-12 |
InceptionResnetV2
1 model with model class InceptionResnetV2
.
Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
---|---|---|---|---|---|---|---|---|---|---|
inception_resnet_v2.tf_in1k | 55.8M | 13.2G | 299 | True | 1536 | 1000 | imagenet-1k | InceptionResnetV2 | inception_resnet_v2 | 2023-04-25 |
MetaFormer
2 models with model class MetaFormer
.
Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
---|---|---|---|---|---|---|---|---|---|---|
convformer_s36.sail_in1k_384 | 40.0M | 22.4G | 384 | True | 512 | 1000 | imagenet-1k | MetaFormer | convformer_s36 | 2023-05-05 |
convformer_m36.sail_in22k_ft_in1k | 57.0M | 12.8G | 224 | True | 576 | 1000 | imagenet-1k | MetaFormer | convformer_m36 | 2023-05-05 |
MobileNetV3
2 models with model class MobileNetV3
.
Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
---|---|---|---|---|---|---|---|---|---|---|
fbnetv3_b.ra2_in1k | 6.6M | 405.6M | 224 | True | 1984 | 1000 | imagenet-1k | MobileNetV3 | fbnetv3_b | 2022-12-16 |
hardcorenas_f.miil_green_in1k | 6.9M | 340.7M | 224 | True | 1280 | 1000 | imagenet-1k | MobileNetV3 | hardcorenas_f | 2023-04-21 |
NextViT
1 model with model class NextViT
.
Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
---|---|---|---|---|---|---|---|---|---|---|
nextvit_base.bd_in1k | 44.8M | 8.3G | 224 | True | 1024 | 1000 | imagenet-1k | NextViT | nextvit_base | 2024-02-11 |
RegNet
1 model with model class RegNet
.
Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
---|---|---|---|---|---|---|---|---|---|---|
regnetx_080.tv2_in1k | 39.5M | 8.0G | 224 | True | 1920 | 1000 | imagenet-1k | RegNet | regnetx_080 | 2023-03-21 |
RepGhostNet
1 model with model class RepGhostNet
.
Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
---|---|---|---|---|---|---|---|---|---|---|
repghostnet_050.in1k | 1.0M | 53.4M | 224 | True | 1280 | 1000 | imagenet-1k | RepGhostNet | repghostnet_050 | 2023-08-19 |
ResNet
2 models with model class ResNet
.
Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
---|---|---|---|---|---|---|---|---|---|---|
resnetaa50.a1h_in1k | 25.6M | 5.2G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | resnetaa50 | 2023-04-05 |
ecaresnet50t.a1_in1k | 25.6M | 4.3G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | ecaresnet50t | 2023-04-05 |
ResNetV2
1 model with model class ResNetV2
.
Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
---|---|---|---|---|---|---|---|---|---|---|
resnetv2_101x1_bit.goog_in21k_ft_in1k | 2.0M | 2.5M | 448 | True | 2048 | 1000 | imagenet-1k | ResNetV2 | resnetv2_101x1_bit | 2023-03-22 |
RexNet
1 model with model class RexNet
.
Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
---|---|---|---|---|---|---|---|---|---|---|
rexnetr_300.sw_in12k_ft_in1k | 34.7M | 3.3G | 224 | True | 3840 | 1000 | imagenet-1k | RexNet | rexnetr_300 | 2023-03-20 |
SwinTransformer
1 model with model class SwinTransformer
.
Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
---|---|---|---|---|---|---|---|---|---|---|
swin_base_patch4_window7_224.ms_in1k | 87.7M | 15.2G | 224 | True | 1024 | 1000 | imagenet-1k | SwinTransformer | swin_base_patch4_window7_224 | 2023-03-18 |
VisionTransformer
3 models with model class VisionTransformer
.
Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
---|---|---|---|---|---|---|---|---|---|---|
vit_base_r50_s16_384.orig_in21k_ft_in1k | 86.6M | 49.5G | 384 | True | 768 | 1000 | imagenet-1k | VisionTransformer | vit_base_r50_s16_384 | 2022-12-23 |
vit_base_patch16_clip_384.laion2b_ft_in12k_in1k | 86.4M | 49.4G | 384 | True | 768 | 1000 | imagenet-1k | VisionTransformer | vit_base_patch16_clip_384 | 2022-11-11 |
vit_little_patch16_reg4_gap_256.sbb_in1k | 22.4M | 5.7G | 256 | True | 320 | 1000 | imagenet-1k | VisionTransformer | vit_little_patch16_reg4_gap_256 | 2024-05-10 |
Xcit
1 model with model class Xcit
.
Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
---|---|---|---|---|---|---|---|---|---|---|
xcit_small_24_p16_224.fb_in1k | 47.6M | 8.9G | 224 | True | 384 | 1000 | imagenet-1k | Xcit | xcit_small_24_p16_224 | 2023-04-13 |