# Medium accuracy
Vehicle Detection Model
Apache-2.0
Vehicle detection model based on DETR framework, supporting recognition and localization of multiple vehicle types
Object Detection
Transformers

V
ArrayDice
32
0
UL Exterior Classification
Apache-2.0
An image classification model fine-tuned based on Google's ViT-base-patch16-224 model, achieving an accuracy of 68.97% on the evaluation set
Image Classification
Transformers

U
sharmajai901
319
1
Watermark Detector
Apache-2.0
A vision model based on the ViT architecture for detecting watermarks in images
Image Classification
Transformers

W
amrul-hzz
2,709
8
Multilabel V3
Apache-2.0
A multi-label classification model fine-tuned from google/vit-base-patch16-224-in21k with an accuracy of 73.7%
Image Classification
Transformers

M
Madronus
19
0
Vit Base Patch16 224 Finetuned Eurosat
Apache-2.0
Image classification model fine-tuned on EuroSAT remote sensing image dataset based on Google's ViT base architecture
Image Classification
Transformers

V
sabhashanki
18
0
Mit B0 CMP Semantic Seg With Mps V2
Other
Semantic segmentation model fine-tuned from nvidia/mit-b0 for building facade image segmentation tasks
Image Segmentation
Transformers English

M
DunnBC22
15
1
Spoofing Vit 16 224
Apache-2.0
An image anti-counterfeiting detection model based on ViT architecture, achieving 70.88% accuracy after fine-tuning on an unknown dataset
Image Classification
Transformers

S
venuv62
59
0
Vit Base Patch16 224 In21k Wwwwwi
Apache-2.0
This model is a fine-tuned Vision Transformer based on google/vit-base-patch16-224-in21k on an unknown dataset, primarily used for image classification tasks.
Image Classification
Transformers

V
Imene
21
0
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