## Description
SqueezeNet from PyTorch-zoo, pretrained with ImageNet and fine-tuned with scenic dataset from kaggle https://www.kaggle.com/datasets/arnaud58/landscape-pictures

## Results
Trained with 8K samples, tested with 120++ non-overlapping samples. 

Accuracy: 0.978261

f1-score: 0.978417

{"license": "afl-3.0"}
license:afl-3.0 region:us
TAGS
#license-afl-3.0 #region-us 

## Description
SqueezeNet from PyTorch-zoo, pretrained with ImageNet and fine-tuned with scenic dataset from kaggle URL

## Results
Trained with 8K samples, tested with 120++ non-overlapping samples. 

Accuracy: 0.978261

f1-score: 0.978417

## Description
SqueezeNet from PyTorch-zoo, pretrained with ImageNet and fine-tuned with scenic dataset from kaggle URL ## Results
Trained with 8K samples, tested with 120++ non-overlapping samples. 

Accuracy: 0.978261

f1-score: 0.978417
TAGS
#license-afl-3.0 #region-us 
 ## Description
SqueezeNet from PyTorch-zoo, pretrained with ImageNet and fine-tuned with scenic dataset from kaggle URL ## Results
Trained with 8K samples, tested with 120++ non-overlapping samples. 

Accuracy: 0.978261

f1-score: 0.978417
passage: TAGS
#license-afl-3.0 #region-us 
## Description
SqueezeNet from PyTorch-zoo, pretrained with ImageNet and fine-tuned with scenic dataset from kaggle URL## Results
Trained with 8K samples, tested with 120++ non-overlapping samples. 

Accuracy: 0.978261

f1-score: 0.978417