Tensorflow classification for face. wide face vs narrow face

Dear ML expert,

I am working on a challenging task of classifying wide-face vs narrow-face. I have a database with 800+ samples in each category.

The validation-accuracy I could achieve with inception-V3 is 68%, without data augmentation. With data augmentation, it is at 79%. However this validation-accuracy is not sufficient because using the generated model, some of the test images fails.

If you can help me with this challenge, please bid. I will share the database so that you can give a try. The couple of requirements are as follows.

1) model size needed to be less than 85MB

2) Only Tensorflow can be used

3) All test images need to pass (10 of them)

4) validation-accuracy needed to be above 90%

5) It is not possible to get any more samples


Happy bidding

Evner: Tensorflow

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Om arbejdsgiveren:
( 162 bedømmelser ) United States, Korea, Republic of

Projekt ID: #17639272

3 freelancere byder i gennemsnit $200 på dette job


Hi, I would love to join this challenge, since I do work on Tensorflow for last two years with slight focus to visual content classification/tracking (CNNs). As I can see, you did use pre-trained model Inception Flere

$150 USD in 7 dage
(2 bedømmelser)

I have ample experience in ML and use Tensorflow and Keras most of the time. I think I can help you in increasing your accuracy but it will take almost a week which is why I have set the delivery date in the bid to be Flere

$250 USD in 10 dage
(2 bedømmelser)

Hi there, I have been working on tensorflow and Keras for past 3 years and have developed many image recognition model. For your problem, I would recommend building a custom model and optimising it for your data, Flere

$200 USD in 3 dage
(0 bedømmelser)