Multi-Label Image Classification For Tattoo Images

I am looking to hire a machine learning expert to build a neural network that can multi-label images of tattoos.

The image classifier needs to be able to identify any type of object in the tattoo. Examples are tattoos of birds, dolphins, trees, knights, chess pieces, lettering, etc.

The classifier needs to be able handle any type of tattoo style, such as water color tattoos, black and white, photo-realistic, cartoon style, etc.

I will be providing the labeled data sets and anything necessary to accomplish this

Skills: Data Mining, Data Processing, Image Processing, Machine Learning (ML)

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About the Employer:
( 16 reviews ) Commack, United States

Project ID: #19661339

50 freelancers are bidding on average $2130 for this job


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(196 Reviews)

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(25 Reviews)

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(18 Reviews)

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(52 Reviews)

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(38 Reviews)

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(48 Reviews)

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(19 Reviews)

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(10 Reviews)

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(6 Reviews)

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$2000 USD in 7 days
(10 Reviews)

Hello! This project needs me to build the tattoos detection model (YOLO) + the CNN classifier (Python + Tensorflow). I have many experiences in object detection + classification. Thanks.

$2500 USD in 30 days
(13 Reviews)

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(27 Reviews)

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(11 Reviews)

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(7 Reviews)

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(15 Reviews)

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(4 Reviews)

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(1 Review)

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(25 Reviews)

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(15 Reviews)

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(6 Reviews)