It contains 491K diverse images of 13 popular clothing categories from both commercial shopping stores and consumers. This dataset contains images (scenes) containing fashion products, which are labeled with bounding boxes and links to the corresponding products. Kaggle Titanic Survival Prediction Competition — A dataset for trying out all kinds of basic + advanced ML algorithms for binary classification, and also try performing extensive Feature Engineering. The MNIST dataset contains images of handwritten digits (0, 1, 2, etc.) DeepFashion2 is a comprehensive fashion dataset. This is SOTA for instance segmentation. FGVC7, CVPR 2020. Few-Shot learning for fashion. Due to time, memory, and RAM constrictions, we will be using the smaller version of the dataset (280 MB instead of 15GB). Kaggle Machine Learning Competition Project : In this project, we will create a classifier to classify fashion clothing into 10 categories learned from Fashion MNIST dataset of Zalando's article images datasets with clothing category and attribute labels. This model has a metric Mask mAP = 43.9 on COCO dataset. - xthan/fashion-200k Example (Kaggle egonet data) UserId: Friends 1: 4 6 12 2 208 2: 5 3 17 90 7. Our dataset distinguishes itself in the following three aspects: Exhaustive annotation of segmentation masks: Ex-isting fashion datasets [5,28] offer segmentation masks for the main garment (e.g., jacket, coat, dress) and … The First Place Solution of Kaggle iMaterialist (Fashion) 2019 at FGVC6 - amirassov/kaggle-imaterialist. Setup. iMaterialist Challenge on fashion at FGVC5, CVPR 2018 Kaggle Dataset Details Files Citation Contact. Women’s E-Commerce Clothing Reviews: Another great resource for ecommerce data, this Kaggle dataset contains 23,000 real customer reviews and ratings. We have hosted Kaggle challenge (iMat-Fashion) using Fashionpedia dataset under FGVC (Fine-Grained Visual Categorization workshop) at CVPR in 2019 and 2020 respectively. iMaterialist Fashion Kaggle Competition at FGVC Download. About. README.md. As shoppers move online, it would be a dream come true to have products in photos classified automatically. Fashion 200K dataset used in paper "Automatic Spatially-aware Fashion Concept Discovery." In order to make a prototype model, I have found a Fashion Product Image Dataset. However, because it features is real commercial data, all information has been anonymized. In this repository I will experiment with applying few-shot learning to the Kaggle fashion dataset using TensorFlow and Keras.. Fashion MNIST is intended as a drop-in replacement for the classic MNIST dataset—often used as the "Hello, World" of machine learning programs for computer vision. Customer Review Datasets for Machine Learning. This dataset can be downloaded from Kaggle. Pinterest Fashion Compatibility. You will need Python >= 3.6, pipenv and preferably access to a GPU. iMaterialist Challenge on fashion at FGVC5, CVPR 2018. FGVC 7 Kaggle site Github page. Basic statistics. in a format identical to that of the articles of clothing you'll use here.