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stanford-car-vit-patch16

Image Classification

Inference Endpoints

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therealcyberlord commited on Aug 9, 2022

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@@ -8,15 +8,15 @@ Base model: https://huggingface.co/google/vit-base-patch16-224
 This achieves around 86% on the testing set, you can use it as a baseline for further tuning.
-Dataset Description:
 The Stanford car dataset contains 16,185 images of 196 classes of cars. Classes are typically at the level of Make, Model, Year, e.g. 2012 Tesla Model S or 2012 BMW M3 coupe. The data is split into 8144 training images, 6,041 testing images, and 2000 validation images in this case.
-** Please note: this dataset does not contain newer cars **
  <img src="https://ai.stanford.edu/~jkrause/cars/class_montage.jpg">
-Citations:
 3D Object Representations for Fine-Grained Categorization
 Jonathan Krause, Michael Stark, Jia Deng, Li Fei-Fei
 4th IEEE Workshop on 3D Representation and Recognition, at ICCV 2013 (3dRR-13). Sydney, Australia. Dec. 8, 2013.

 This achieves around 86% on the testing set, you can use it as a baseline for further tuning.
+# Dataset Description:
 The Stanford car dataset contains 16,185 images of 196 classes of cars. Classes are typically at the level of Make, Model, Year, e.g. 2012 Tesla Model S or 2012 BMW M3 coupe. The data is split into 8144 training images, 6,041 testing images, and 2000 validation images in this case.
+** Please note: this dataset does not contain newer car models **
  <img src="https://ai.stanford.edu/~jkrause/cars/class_montage.jpg">
+# Citations:
 3D Object Representations for Fine-Grained Categorization
 Jonathan Krause, Michael Stark, Jia Deng, Li Fei-Fei
 4th IEEE Workshop on 3D Representation and Recognition, at ICCV 2013 (3dRR-13). Sydney, Australia. Dec. 8, 2013.