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Flower-Dataset-Resnet50-180
Pankaj001/Flower-Dataset-Resnet50-180
Flower-Dataset-Resnet50-180 is a image classification model from Pankaj001. Use it when you need a label for an image. It is set up for tf-keras. The card lists the license as apache-2.0.
This model is based on the ResNet-50 architecture and has been trained on a dataset of flower images.
Access
Public
Updated Feb 7, 2024
Repo size
231 MB
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.zip118 MB · 50%
At a glance
- Task
- Image Classification
- Library
- tf-keras
- License
- apache-2.0
- Access
- Public
- Created
- Jan 18, 2024
- Updated
- Feb 7, 2024
- SHA
- 06bf4ca0
Model card
From the Hugging Face model README
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
- Task
- Image Classification
- Library
- tf-keras
- License
- apache-2.0
- Created
- Jan 18, 2024
- Updated
- Feb 7, 2024