implement openmax on existing [login to view URL] model to detect out of classifier cases

Closed Posted 1 year ago Paid on delivery
Closed Paid on delivery

I need help in coming up with a technique to determine when an object is not in the list of already classified objects. I believe openmax will solve this problem.

I am sorting parts that are the identical shape, but differ in the text written on them. Unfortunately the text is written in a circle, so I can’t simply read the text with OCR. (At least I couldn’t make it work.)

I have about 20 different labels on the parts I currently have. Some parts I have 1,000 pictures of, others I only have 100 pictures.

I discovered while I was sorting that there are actually more than 20 different labels, there are parts I didn’t know about that only occur once or twice in five hundred parts. I would like to be able to identify and handle parts like this separately.

I am using [login to view URL] to classify the images (parts). I get about a 96% accuracy of a part being identified correctly when I use two different classifiers to look at the same image and then check their agreement. I do this because I would rather reject parts than have them sorted incorrectly.

My images are 300x300.

I look at the weight of the prediction, and 95% of my predictions are almost certain, say .99999, so I haven’t been able to do the simple thing of just looking at the strength of the prediction.

In case this is relevant, the resnet50 classifier that I have trained might be overtrained. Within three epochs it is at like 99.7% accuracy with a val_accuracy of 98%.

Epoch 3/3

99/99 [==============================] - 572s 6s/step - loss: 0.0138 - accuracy: 0.9967 - val_loss: 0.3574 - val_accuracy: 0.9796

Here is an article that shows what needs to be implemented.

[login to view URL]

The project milestone is when the software correctly identifies out-of-distribution images (similar images that the classifier has not been trained on).

Tensorflow Keras Python Neural Networks Machine Learning (ML) Artificial Intelligence Computer Vision Data Science Image Processing OCR Software Architecture

Project ID: #33656030

About the project

17 proposals Remote project Active 1 year ago

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datascientist90

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