Model: mcQuantum/swin-tiny-patch4-window7-224-finetuned-eurosat
Author: mcQuantum
Pipeline: image-classification
Library: transformers
Tags: transformers, pytorch, swin, image-classification, generated_from_trainer, dataset:imagefolder, base_model:microsoft/swin-tiny-patch4-window7-224, base_model:finetune:microsoft/swin-tiny-patch4-window7-224, license:apache-2.0, model-index, endpoints_compatible, region:us
Base models (finetune): id: microsoft/swin-tiny-patch4-window7-224
Card metadata: license: apache-2.0
base_model: microsoft/swin-tiny-patch4-window7-224
tags: generated_from_trainer
datasets: imagefolder
metrics: accuracy
model-index: name: swin-tiny-patch4-window7-224-finetuned-eurosat
results: task: name: Image Classification
type: image-classification
dataset: name: imagefolder
type: imagefolder
config: default
split: train
args: default
metrics: name: Accuracy
type: accuracy
value: 0.9725925925925926
verified: no
Likes: 0 | All-time downloads: 421
Created: 2023-09-06 21:45:42