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Agricultural Detection

# Agricultural Detection

Platzi Vit Model Mewita
Apache-2.0
An image classification model fine-tuned on a legume dataset based on Google's ViT model, achieving 97.74% accuracy
Image Classification Transformers
P
platzi
15
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 98.5% accuracy
Image Classification Transformers
V
yaxue
33
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
Vit Base Beans
Apache-2.0
A high-precision image classification model fine-tuned on bean datasets based on Google's ViT model
Image Classification Transformers
V
derhuli
33
0
Vit Model
Apache-2.0
This model is an image classification model fine-tuned on the beans dataset based on Google's ViT architecture, designed to identify the health status of legume plants.
Image Classification Transformers
V
jeraldflowers
16
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
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