İptal Edildi

Build a convolutional neural net for image similarity -- 2

Build two statistical models:

Model 1) Input: one query image, a dataset of product images; Output: visually similar images from product image dataset matching query image, together with a similarity score for each

Model 2) Input: one set of images; Output: a clustering of the input images

Idea: since Model 1 can compute image similarity between images, Model 2 can simply run Model 1 on all pairs of images to get similarities, then use a standard clustering algorithm based on the similarity matrix. Model 2: Given a function model1(X) -> {a:0.9, b:0.7, c:0.6, d:0.4}, Gabi will build model 2.

Accuracy / Precision / Recall will be computed on the top 10 results, and we desire 80% accuracy on those.

Datasets to be provided:

Dataset 1: Lifesytle images - aprox [url removed, login to view] images of fashion related lifestyle images. Provided in a zip folder with just the individual images.

[url removed, login to view]

Dataset 2: Products: aprox 50k product file with, ID, Name, Description, Main Image URL and Alternative Image URL.

[url removed, login to view]

Dataset 3: Visenze results for all images and associated product results with their similarity score.

[url removed, login to view]

Beceriler: Yapay Zeka, Büyük Veri, Veri Bilimi, Makine Öğrenimi

Daha fazlasını görün: net image similarity, image similarity net, neural net overview freelancer, net image upload discription, net image upload, build ivr system net, net image resize, net image upload control, net image function, php neural net, neural net connect player, net image resize function, asp net image popup

İşveren Hakkında:
( 4 değerlendirme ) enfield, United Kingdom

Proje NO: #14898341

1 freelancer bu iş için ortalamada 1444£ teklif veriyor

in 10 gün içinde1444£ GBP
(0 Değerlendirme)
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