
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3387392923
- CO2 Emissions (in grams): 1.5545

## Validation Metrics

- Loss: 0.138
- Accuracy: 0.977
- Precision: 0.958
- Recall: 1.000
- AUC: 0.996
- F1: 0.979
{"tags": ["autotrain", "vision", "image-classification"], "datasets": ["AllanOuii/autotrain-data-resnet50_mask_classification"], "widget": [{"src": "https://cph.temple.edu/sites/cph/files/styles/tu_is_news_detail/public/images/news/2020/08/Mask_Couple_cropped.jpg?itok=GWPDmgcq&c=2ea712dc3192aacbbeff64473f7ee7b8", "example_title": "Masked people in street"}, {"src": "https://ichef.bbci.co.uk/news/976/cpsprodpb/5827/production/_121176522_gettyimages-1265082017.jpg.webp", "example_title": "Masked girl in bus"}, {"src": "https://www.snexplores.org/wp-content/uploads/2022/08/1440_face_mites_feat-1030x580.jpg", "example_title": "Group portrait no mask"}], "co2_eq_emissions": {"emissions": 1.5544780289204296}}
transformers pytorch resnet image-classification autotrain vision dataset:AllanOuii/autotrain-data-resnet50_mask_classification co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #resnet #image-classification #autotrain #vision #dataset-AllanOuii/autotrain-data-resnet50_mask_classification #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3387392923
- CO2 Emissions (in grams): 1.5545

## Validation Metrics

- Loss: 0.138
- Accuracy: 0.977
- Precision: 0.958
- Recall: 1.000
- AUC: 0.996
- F1: 0.979
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3387392923
- CO2 Emissions (in grams): 1.5545 ## Validation Metrics

- Loss: 0.138
- Accuracy: 0.977
- Precision: 0.958
- Recall: 1.000
- AUC: 0.996
- F1: 0.979
TAGS
#transformers #pytorch #resnet #image-classification #autotrain #vision #dataset-AllanOuii/autotrain-data-resnet50_mask_classification #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3387392923
- CO2 Emissions (in grams): 1.5545 ## Validation Metrics

- Loss: 0.138
- Accuracy: 0.977
- Precision: 0.958
- Recall: 1.000
- AUC: 0.996
- F1: 0.979
TAGS
#transformers #pytorch #resnet #image-classification #autotrain #vision #dataset-AllanOuii/autotrain-data-resnet50_mask_classification #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3387392923
- CO2 Emissions (in grams): 1.5545## Validation Metrics

- Loss: 0.138
- Accuracy: 0.977
- Precision: 0.958
- Recall: 1.000
- AUC: 0.996
- F1: 0.979