ResNet-50 Model for Flower Classification
This model is based on the ResNet-50 architecture and has been trained on a dataset of flower images.
Model Details
- Architecture: ResNet-50
- Input Size: 180x180 pixels with 3 channels (RGB)
- Data Preprocessing: The model has been trained on normalized data.
- Model Accuracy: 80%
Usage
You can use this model for flower image classification tasks. Below are some code snippets to help you get started: flowers_url: "https://storage.googleapis.com/download.tensorflow.org/example_images/flower_photos.tgz"
license: apache-2.0 language: - en library_name: keras
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