--- a/README.md +++ b/README.md @@ -1,28 +1,28 @@ -# ML_ModelPrediction - -# Perdiction of the mutiple trained models (NASNet, RESNET, VGG16 VGG19, DENSENET) to be integrated with micro service using Flask API request. - -Image is updated and loaded on MongoDB for future use and the user gets a response of the predicted lable while using service and upload image for prediction. - - - -#NASNET MODEL PREDICTION - -Image is updated and loaded on MongoDB for future use and the user gets a response of the predicted lable while using service and upload image for prediction. - - - -#NASNET MODEL PREDICTION - - -#POST response via using serivce: - -Input request POST with from data as image file that needs to be classfied. - -*[http://127.0.0.1:5000/upload-image/] - - `{ - "Given class of image is ": "Dyed-lifted-polyps" - }` - - +# ML_ModelPrediction + +# Perdiction of the mutiple trained models (NASNet, RESNET, VGG16 VGG19, DENSENET) to be integrated with micro service using Flask API request. + +Image is updated and loaded on MongoDB for future use and the user gets a response of the predicted lable while using service and upload image for prediction. + + + +#NASNET MODEL PREDICTION + +Image is updated and loaded on MongoDB for future use and the user gets a response of the predicted lable while using service and upload image for prediction. + + + +#NASNET MODEL PREDICTION + + +#POST response via using serivce: + +Input request POST with from data as image file that needs to be classfied. + +*[http://127.0.0.1:5000/upload-image/] + + `{ + "Given class of image is ": "Dyed-lifted-polyps" + }` + +