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PyTorch Image Models
https://github.com/rwightman/pytorch-image-models
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rwightman  new activity 4 days ago
timm/resnet50.a1_in1k:import torch in first snippet
pcuenq  new activity 5 days ago
timm/resnet50.a1_in1k:import torch in first snippet
pcuenq  new activity 5 days ago
timm/resnet50.a1_in1k:Fix: Add missing timm and torch dependencies in example code
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timm 's collections 16

MobileNetV4 pretrained weights
Weights for MobileNet-V4 pretrained in timm
Fastest timm models > 80% Top-1 ImageNet-1k
Fastest image classification models with 80% accuracy in ImageNet-1k .
Fastest timm models > 86% ImageNet-1k Top-1
Fastest image classification models with 86% accuracy in ImageNet-1k .
Searching for Better ViT Baselines
Exploring ViT hparams and model shapes for the GPU poor (between tiny and base).
timm Top-20 ImageNet-1k Models
The 20 best models on ImageNet-1k validation set, all pretrained on datasets larger than ImageNet and fine-tuned on ImageNet-1k.
timm ImageNet-12k Models
timm has a number of unique and exclusive models trained on a 11821 (12k) subset of the full ImageNet-22k
Fastest timm models > 75.3% IN-1k Top-1 (Original ResNet-50)
Fastest image classification models with 75.3% accuracy in ImageNet-1k .
Fastest timm models > 83% ImageNet-1k Top-1
Fastest image classification models with 83% accuracy in ImageNet-1k .
Fastest timm models > 88% ImageNet-1k Top-1
Fastest image classification models with 88% accuracy in ImageNet-1k .
timm tiny test models
A collection of very small (~300-500k parameter) models at 160x160 resolution, for testing purposes. Trained on ImageNet-1k.
Searching for Better ViT Baselines
Exploring ViT hparams and model shapes for the GPU poor (between tiny and base).
MobileNetV4 pretrained weights
Weights for MobileNet-V4 pretrained in timm
timm Top-20 ImageNet-1k Models
The 20 best models on ImageNet-1k validation set, all pretrained on datasets larger than ImageNet and fine-tuned on ImageNet-1k.
timm ImageNet-12k Models
timm has a number of unique and exclusive models trained on a 11821 (12k) subset of the full ImageNet-22k
Fastest timm models > 75.3% IN-1k Top-1 (Original ResNet-50)
Fastest image classification models with 75.3% accuracy in ImageNet-1k .
Fastest timm models > 80% Top-1 ImageNet-1k
Fastest image classification models with 80% accuracy in ImageNet-1k .
Fastest timm models > 83% ImageNet-1k Top-1
Fastest image classification models with 83% accuracy in ImageNet-1k .
Fastest timm models > 86% ImageNet-1k Top-1
Fastest image classification models with 86% accuracy in ImageNet-1k .
Fastest timm models > 88% ImageNet-1k Top-1
Fastest image classification models with 88% accuracy in ImageNet-1k .
timm tiny test models
A collection of very small (~300-500k parameter) models at 160x160 resolution, for testing purposes. Trained on ImageNet-1k.