Hugging Face Space: ekekok/quickstyle
Author: ekekok
SDK: gradio
title: Quickstyle
license: cc-by-4.0
long_description: This is an AI model made by Elijah Koziar that detects the style of clothes being worn. The base model architecture used was MobileNetV2, while the head was designed, built, and trained by Elijah Koziar. This model was trained on images and annotations from the Open Images Dataset V7. The annotations used in this project are from the Open Images Dataset V7 (https://storage.googleapis.com/openimages/web/index.html),  provided by Google under the Creative Commons Attribution 4.0 License (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/). Individual images are licensed under Creative Commons and other terms as specified by their metadata. Full attribution details of these images are provided in the attributions.csv file. The following libraries and tools were also used; TensorFlow (https://www.tensorflow.org/) and Keras (https://keras.io/) licensed under the Apache License 2.0 (https://www.apache.org/licenses/LICENSE-2.0); MobileNetV2 architecture by Google (https://arxiv.org/abs/1801.04381) released under the Apache License 2.0 (https://www.apache.org/licenses/LICENSE-2.0); Gradio (https://www.gradio.app/) used to build the AI web interface, licensed under the Apache License 2.0 (https://www.apache.org/licenses/LICENSE-2.0); scikit-learn (https://scikit-learn.org/) licensed under the BSD 3-Clause License (https://github.com/scikit-learn/scikit-learn/blob/main/COPYING); matplotlib (https://matplotlib.org/) used for visualization, licensed under a PSF-based license (https://matplotlib.org/stable/users/project/license.html).