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# Image Orientation Detector
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This project implements a deep learning model to detect the orientation of images and determine the rotation needed to correct them. It uses a pre-trained EfficientNetV2 model from PyTorch, fine-tuned for the task of classifying images into four orientation categories: 0°, 90°, 180°, and 270°.
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---
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license: mit
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datasets:
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- detection-datasets/coco
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base_model:
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- timm/tf_efficientnetv2_s.in21k_ft_in1k
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tags:
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- orientation
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- detection
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- rotate
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- rotation
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- images
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---
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# Image Orientation Detector
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This project implements a deep learning model to detect the orientation of images and determine the rotation needed to correct them. It uses a pre-trained EfficientNetV2 model from PyTorch, fine-tuned for the task of classifying images into four orientation categories: 0°, 90°, 180°, and 270°.
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