## Detecting the Orientation of CelebA pictures using Deep Learning
This model has been trained on a modified version of the CelebA-faces dataset, which was made from flipping 20,000 images upside down and keeping 20,000 images intact.<br> 
The model relies on Resnet-18 as a backbone and is connected to one output node to classify whether the images are flipped upside down (1) or not (0).
{"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["image-classification", "pytorch"], "datasets": ["nielsr/CelebA-faces"], "model-index": [{"name": "celebA_orientation_detection_model", "results": [{"task": {"type": "image_classification", "name": "Image Classification"}, "dataset": {"name": "CelebA-faces", "type": "nielsr/CelebA-faces"}, "metrics": [{"type": "f1score", "value": 0.97, "name": "Val F1 Score"}]}]}]}
image-classification pytorch en dataset:nielsr/CelebA-faces license:cc-by-nc-4.0 model-index region:us
TAGS
#image-classification #pytorch #en #dataset-nielsr/CelebA-faces #license-cc-by-nc-4.0 #model-index #region-us 

## Detecting the Orientation of CelebA pictures using Deep Learning
This model has been trained on a modified version of the CelebA-faces dataset, which was made from flipping 20,000 images upside down and keeping 20,000 images intact.<br> 
The model relies on Resnet-18 as a backbone and is connected to one output node to classify whether the images are flipped upside down (1) or not (0).
## Detecting the Orientation of CelebA pictures using Deep Learning
This model has been trained on a modified version of the CelebA-faces dataset, which was made from flipping 20,000 images upside down and keeping 20,000 images intact.<br> 
The model relies on Resnet-18 as a backbone and is connected to one output node to classify whether the images are flipped upside down (1) or not (0).
TAGS
#image-classification #pytorch #en #dataset-nielsr/CelebA-faces #license-cc-by-nc-4.0 #model-index #region-us 
 ## Detecting the Orientation of CelebA pictures using Deep Learning
This model has been trained on a modified version of the CelebA-faces dataset, which was made from flipping 20,000 images upside down and keeping 20,000 images intact.<br> 
The model relies on Resnet-18 as a backbone and is connected to one output node to classify whether the images are flipped upside down (1) or not (0).
passage: TAGS
#image-classification #pytorch #en #dataset-nielsr/CelebA-faces #license-cc-by-nc-4.0 #model-index #region-us 
## Detecting the Orientation of CelebA pictures using Deep Learning
This model has been trained on a modified version of the CelebA-faces dataset, which was made from flipping 20,000 images upside down and keeping 20,000 images intact.<br> 
The model relies on Resnet-18 as a backbone and is connected to one output node to classify whether the images are flipped upside down (1) or not (0).