# Plant Disease Identification
Cropvision CLIP
A vision-language model fine-tuned based on the CLIP architecture, specifically designed for zero-shot classification of plant diseases
Image Classification English
C
EduFalcao
38
0
Vit Beans
Apache-2.0
A Vision Transformer model fine-tuned on the beans dataset based on google/vit-base-patch16-224-in21k for image classification tasks
Image Classification
Transformers

V
SangjeHwang
17
1
Vit Model Jmrv002
Apache-2.0
A high-precision image classification model fine-tuned on the beans dataset based on Google's ViT model
Image Classification
Transformers

V
jmrv002
15
0
Vit Base Beans
Apache-2.0
This model is a fine-tuned image classification model based on Google's ViT-base model on the beans dataset, achieving an accuracy of 98.5%.
Image Classification
Transformers

V
leejw51
20
1
Vit Model Beimer
Apache-2.0
This model is a fine-tuned image classification model based on Google's ViT-base-patch16-224-in21k on the beans dataset, achieving an accuracy of 98.5%.
Image Classification
Transformers

V
tadeous
39
0
Vit Model1
Apache-2.0
An image classification model fine-tuned on the beans dataset based on Google's ViT model, achieving an accuracy of 97.74%
Image Classification
Transformers

V
fernando232s
19
0
Platzi Vit Model Javi Javiai
Apache-2.0
This model is a fine-tuned image classification model based on Google's ViT architecture on the beans dataset, achieving an accuracy of 97.74%.
Image Classification
Transformers

P
platzi
40
0
Vit Base 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 97.74%.
Image Classification
Transformers

V
naveensb8182
22
0
Vit Base Beans
Apache-2.0
An image classification model fine-tuned on the beans dataset based on Google's ViT model, achieving an accuracy of 96.99%
Image Classification
Transformers

V
simlaharma
22
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 Base Beans Demo V5
Apache-2.0
An image classification model fine-tuned on the beans dataset based on Google's ViT base model, achieving 98.5% accuracy
Image Classification
Transformers

V
amy-why
13
0
Vit Base Beans Demo V5
Apache-2.0
A Vision Transformer model fine-tuned on an image folder dataset based on Google's ViT base model
Image Classification
Transformers

V
clp
13
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
Apache-2.0
A vision Transformer model fine-tuned on the beans dataset based on google/vit-base-patch16-224-in21k
Image Classification
Transformers

V
santiagoahl
13
0
Vit Base Beans
Apache-2.0
This model is an image classification model fine-tuned on the beans dataset based on timm/resnet18.a1_in1k, achieving an accuracy of 69.17%.
Image Classification
Transformers

V
amyeroberts
19
0
Vit Base Beans
Apache-2.0
A high-precision image classification model fine-tuned on the beans dataset based on Google's ViT model
Image Classification
Transformers

V
sanjeev498
13
0
Vit Base Beans
Apache-2.0
This model is based on Google's ViT architecture, fine-tuned on the beans dataset, achieving an accuracy of 98.5%.
Image Classification
Transformers

V
liangy2
14
0
Vit Base Beans
Apache-2.0
An image classification model fine-tuned on the beans dataset based on Google's ViT model, achieving 98.5% accuracy
Image Classification
Transformers

V
espejelomar
33
0
Swin Tiny Patch4 Window7 224 Finetuned Plantdisease
Apache-2.0
A plant disease image classification model based on the Swin Transformer architecture, fine-tuned on a plant disease dataset with an accuracy of 96.9%
Image Classification
Transformers

S
gianlab
40
5
Convnext Tiny Finetuned Beans
Apache-2.0
This model is an image classification model fine-tuned on the beans dataset based on the ConvNeXt-Tiny architecture, achieving an accuracy of 96.09%.
Image Classification
Transformers

C
mrm8488
15
1
Swin Tiny Patch4 Window7 224 Plant Doctor
Apache-2.0
This is a micro image classification model based on the Swin Transformer architecture, specifically fine-tuned for plant health diagnosis tasks, achieving 99.83% accuracy on the evaluation set.
Image Classification
Transformers

S
plantdoctor
14
1
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