Official External Datasets and Pretrained Models Thread (31 August Due)

Please post your (freely available) external datasets and pretrained models links by directly replying this thread before 31 August.

We will maintain a list of the external datasets * Google Doc * Tencent Doc

Note: Please do not directly edit the documents. We will add your links to the document if the datasets/pretrained models are usable.

resnet pretrained: resnet18: https://download.pytorch.org/models/resnet18-5c106cde.pth

resnet34: https://download.pytorch.org/models/resnet34-333f7ec4.pth

resnet50: https://download.pytorch.org/models/resnet50-19c8e357.pth

resnet101: https://download.pytorch.org/models/resnet101-5d3b4d8f.pth

resnet152: https://download.pytorch.org/models/resnet152-b121ed2d.pth

pretrained models in mmsegmentation and timm

https://github.com/open-mmlab/mmsegmentation https://github.com/rwightman/pytorch-image-models

CoAT pretrained models: https://vcl.ucsd.edu/coat/pretrained/ MPViT pretrained models: https://github.com/youngwanLEE/MPViT

External Datasets TissueNet & LiveCellNet: https://datasets.deepcell.org/data

Can we use the dataset from this competition? (https://www.kaggle.com/competitions/sartorius-cell-instance-segmentation/overview)

LiveCell pretrained: https://github.com/sartorius-research/LIVECell/tree/main/model

StainNet pretrained models: https://github.com/khtao/StainNet/tree/master/checkpoints

Hi namnguyen61031,

Any publicly available datasets and models are allowed to use as long as you post them here.

Hi, I have only trained the models on the original + augmentations of the original data, no other external data was used. Do I have to post the augmented data and the models generated thereof?

Hello,this is our pretrained models: https://zenodo.org/record/5153251#.Yw1tjLGVV9O

here is our pretrained model

The Lizard dataset used in the Conic Challenge: http://warwick.ac.uk/lizard-dataset (whole images) https://www.kaggle.com/datasets/aadimator/conic-challenge-dataset (as patches)

The datasets of the CellDetection package: https://docs.celldetection.org/en/latest/celldetection.data.html#module-celldetection.data.datasets

Pretrained ResNets: https://github.com/FZJ-INM1-BDA/celldetection/blob/7c7547470fac7460134b946a28a14dddafcb3f39/celldetection/models/resnet.py#L12

PyTorch Segmentation Models. https://github.com/qubvel/segmentation_models.pytorch