Dear Machine Learning experts,
I am looking for a python based tensorflow solution which can classify images for the following cases.
1) Color-cast vs Non color-cast images
2) Black & White (or Sepia) vs color images
3) Blurred Photos vs normally sharp photos
I have a database of 2000 images for each classes.
The main challange here is as follows. Classic CNN architecture (or Inception-V3) is predominently looking into shapes in the images. But I want a CNN model for classifing global features of image such as color-cast or sharpness. Hence shape based classifier is not what I am looking for.
Please refer to the following paper and let me know if you can work in this challenge. [login to view URL]
Kindly bid if you have expertise in such classification (because it is not object detection), and a decent GPU for your work. I am looking for an classification accuracy of 97% +.
33 pekerja bebas membida secara purata $493 untuk pekerjaan ini
hi Nice to meet you. I have a good skill in machine learning. I am also familiar with CNN model classification. Please give me a chance to work for you. I will do my best. Thanks.
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