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simple-cnn-classifier
kolkela/simple-cnn-classifier
simple-cnn-classifier is a image classification model from kolkela. Use it when you need a label for an image. It is set up for keras. The card lists the license as mit.
- Data Augmentation: Random Flip, Rotation, Zoom, Contrast - Conv Blocks: 32 - 64 - 128 filters + MaxPool - Regularization: Dropout - Head: GlobalAveragePooling2D - Dense Layer
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At a glance
- Task
- Image Classification
- Library
- keras
- License
- mit
- Access
- Public
- Created
- Aug 14, 2026
- Updated
- Aug 14, 2026
- SHA
- ab0aeff6
Model card
From the Hugging Face model README
Simple CNN Classifier
Model Architecture
- Data Augmentation: Random Flip, Rotation, Zoom, Contrast
- Conv Blocks: 32 -> 64 -> 128 filters + MaxPool
- Regularization: Dropout
- Head: GlobalAveragePooling2D -> Dense Layer
How to Load & Use
import keras
model = keras.saving.load_model("hf://kolkela/simple-cnn-classifier")
- Task
- Image Classification
- Library
- keras
- License
- mit
- Languages
- en
- Created
- Aug 14, 2026
- Updated
- Aug 14, 2026