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Bean Image Classification

# Bean Image Classification

Platzi Vit Model Nelson Silvera
Apache-2.0
This is an image classification model fine-tuned from Google's ViT model on the beans dataset, achieving 98.5% accuracy on the validation set.
Image Classification Transformers
P
platzi
16
0
Platzi Vit Model Julio Test
Apache-2.0
This is an image classification model fine-tuned on a bean dataset based on Google's ViT model, achieving a high accuracy of 99.25% on the validation set.
Image Classification Transformers
P
platzi
18
0
Cristian Vit
Apache-2.0
This model is an image classification model fine-tuned on a bean dataset based on Google's ViT architecture, achieving 100% accuracy on the validation set.
Image Classification Transformers
C
agudelozc
40
0
Vit Base Beans
Apache-2.0
An image classification model fine-tuned on a bean dataset based on Google's ViT model, achieving an accuracy of 97.74%
Image Classification Transformers
V
socokal
30
0
Platzi Vit Model Tommasory Beans
Apache-2.0
An image classification model fine-tuned on a bean dataset based on Google's ViT model, achieving 99.25% accuracy
Image Classification Transformers
P
tommasory
30
0
Vit Model Santiago Ahumada
Apache-2.0
This model is a fine-tuned image classification model based on google/vit-base-patch16-224-in21k on a bean dataset, achieving 100% accuracy on the evaluation set.
Image Classification Transformers
V
santiagoahl
31
0
Resnet 50 Base Beans Demo
An image classification model fine-tuned on the beans dataset based on the ResNet-50 architecture, achieving an accuracy of 90.23%
Image Classification Transformers
R
eugenecamus
24
0
Vit Beans
Apache-2.0
This model is an image classification model fine-tuned on the beans dataset based on Google's ViT architecture, achieving an accuracy of 96.99%.
Image Classification Transformers
V
johnnydevriese
14
0
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