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upside-down-detector
reeda23/upside-down-detector
upside-down-detector is a machine learning model from reeda23. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
1. Deep Learning for Vision Upside down detector: Train a model to detect if images are upside down
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Updated Apr 7, 2022
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At a glance
- Access
- Public
- Created
- Apr 7, 2022
- Updated
- Apr 7, 2022
- SHA
- 7cdff061
Model card
From the Hugging Face model README
- Deep Learning for Vision Upside down detector: Train a model to detect if images are upside down
Pick a dataset of natural images (we suggest looking at datasets on the Hugging Face Hub) Synthetically turn some of images upside down. Create a training and test set. Build a neural network (using Tensorflow, PyTorch, or any framework you like) Train it to classify image orientation until a reasonable accuracy is reached Upload the the model to the Hugging Face Hub, and add a link to your model below. Look at some of the images that were classified incorrectly. Please explain what you might do to improve your model's performance on these images in the future (you do not need to impelement these suggestions) Submission instructions: Please write your code below and include some examples of images that were classified
- Created
- Apr 7, 2022
- Updated
- Apr 7, 2022