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Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter
book

Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

by Anubhav Singh, Rimjhim Bhadani
April 2020
Intermediate to advanced
380 pages
9h 24m
English
Packt Publishing
Content preview from Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

Fashion images

In 2019, the DeepFashion2 dataset was presented by Yuying Ge, Ruimao Zhang, and others. The dataset is an improvement on the DeepFashion dataset and includes 491,000 images from both sellers and consumers. The dataset identifies 801,000 clothing items. Each item in the dataset is marked with a scale, occlusion, zoom-in, viewpoint, category, style, a bounding box, dense landmarks, and a per-pixel mask.

The dataset has 391,000 images in the training set, 34,000 images in the validation set, and 67,000 images in the test set. This dataset offers the possibility of coming up with better models that are able to identify fashion clothing and different clothing items from images. One could easily imagine the range of applications ...

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Publisher Resources

ISBN: 9781789611212