# Medium Accuracy
Rtdetr R50 Cppe5 Finetune
Object detection model based on RT-DETR architecture, fine-tuned on CPPE-5 dataset with pre-training on COCO and Objects365 datasets
Object Detection
Transformers

R
qubvel-hf
207
0
Skin Type Classifier
Apache-2.0
This is a skin type classification model based on Vision Transformer architecture, capable of identifying three skin types (dry, normal, and oily) from facial images.
Image Classification
Transformers

S
Muqtadar08
57
2
Dit Base Finetuned Rvlcdip Finetuned Data200
This model is a fine-tuned version of microsoft/dit-base-finetuned-rvlcdip on an image folder dataset, primarily used for image classification tasks.
Image Classification
Transformers

D
AthiraVr
16
0
Fl Image Category Multi Label
Apache-2.0
This is an image classification model fine-tuned based on Google's ViT model, trained on the fl_image_category_ds dataset with an accuracy of 66.22%.
Image Classification
Transformers

F
StephenSKelley
17
1
Fl Image Category
Apache-2.0
An image classification model fine-tuned based on microsoft/resnet-18, trained on the fl_image_category_ds dataset
Image Classification
Transformers

F
StephenSKelley
29
0
Vit Model
A ViT model fine-tuned on the preprocessed 1024 configuration dataset for image classification tasks
Image Classification
Transformers

V
mm-ai
19
0
Large Algae Vit Wirs
Apache-2.0
This model is a fine-tuned version based on the Vision Transformer architecture, primarily used for algae image classification tasks, achieving an accuracy of 62.09% on the evaluation dataset.
Image Classification
Transformers

L
samitizerxu
39
0
Vit Base Patch16 224 Finetuned Algae Rgb
Apache-2.0
A fine-tuned model based on Google's Vision Transformer (ViT) architecture, specifically designed for algae image classification tasks
Image Classification
Transformers

V
samitizerxu
39
0
Resnet 50 4 32
Apache-2.0
An image classification model fine-tuned based on microsoft/resnet-50, achieving an accuracy of 64.1% on the evaluation set
Image Classification
Transformers

R
Celal11
26
0
Autotrain Age3 2658279907
This is a multi-class image classification model trained with AutoTrain, suitable for general object recognition tasks
Image Classification
Transformers

A
ivensamdh
20
0
Convnext Tiny 224 Album Vit
Apache-2.0
A vision model based on the ConvNeXt-Tiny architecture, fine-tuned for image classification tasks
Image Classification
Transformers

C
venetis
32
0
Resnet50 Finetuned Memes
Apache-2.0
A meme classification model fine-tuned based on ResNet50 architecture, achieving 57.42% accuracy on image classification tasks
Image Classification
Transformers

R
jayanta
31
0
Croupier Creature Classifier
Apache-2.0
An image classification model based on ViT architecture for identifying various fictional creature characters
Image Classification
Transformers

C
alkzar90
14
0
Resnet 50 Finetuned Eurosat
Apache-2.0
This model is a fine-tuned version of microsoft/resnet-50 on an image folder dataset, primarily used for image classification tasks.
Image Classification
Transformers

R
keithanpai
26
0
Resnet 50 Ucsat
Apache-2.0
An image classification model fine-tuned based on microsoft/resnet-50, demonstrating medium accuracy on an unknown dataset
Image Classification
Transformers

R
YKXBCi
24
0
Llama Alpaca Guanaco Vicuna
Llamastics is an image classification model based on PyTorch, available on the HuggingPics platform.
Image Classification
Transformers

L
osanseviero
20
6
Bert Base Chinese Finetuned Amazon Zh 20000
A text classification model fine-tuned on Amazon Chinese review dataset based on bert-base-chinese
Large Language Model
Transformers

B
ASCCCCCCCC
14
0
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