Repository: xthan/polyvore-dataset Branch: master Commit: ba8aa71b6589 Files: 3 Total size: 23.0 KB Directory structure: gitextract__p4_xoev/ ├── LICENSE ├── README.md └── category_id.txt ================================================ FILE CONTENTS ================================================ ================================================ FILE: LICENSE ================================================ Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. 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See the License for the specific language governing permissions and limitations under the License. ================================================ FILE: README.md ================================================ ## Polyvore Dataset Dataset used in ACM MM'17 paper "Learning Fashion Compatibility with Bidirectional LSTMs" [[paper]](https://arxiv.org/pdf/1707.05691.pdf) [[code]](https://github.com/xthan/polyvore) This dataset is also available on [Google Drive](https://drive.google.com/drive/folders/0B4Eo9mft9jwoVDNEWlhEbUNUSE0?resourcekey=0-vQg9TMSLKnmPCuuWwl5Ebw&usp=sharing). Original Images can be downloaded on [Kaggle]( https://www.kaggle.com/datasets/dnepozitek/maryland-polyvore-images/data). **A clean version of this dataset can be found:** [**Cleaned Maryland**](https://github.com/AemikaChow/AiDLab-fAshIon-Data/blob/main/Datasets/cleaned-maryland.md) You may be interested in a new dataset [A100 dataset](https://github.com/AemikaChow/AiDLab-fAshIon-Data/blob/main/Datasets/A100.md), which measures the aesthetic ability of an AI model. ### Contact Author: Xintong Han Contact: xintong@umd.edu ### Polyvore.com Polyvore.com is a popular fashion website, where users can create and upload outfit data. This website has been acquired by SSense, and the URLs in the dataset are no longer available. ### Dataset Download and decompress polyvore.tar.gz. #### Polyvore outfits This dataset contains 21,889 outfits from polyvore.com, of which 17,316 are for training, 1,497 for validation, and 3,076 for testing. The train, validation, and test outfits are in {train,valid,test}_no_dup.json, respectively. Each JSON item has the following information: { "name": Name of the outfit, "views": Number of views of the outfit, "items": [ Fashion items in the outfit. { "index": Index of the fashion item in this outfit on Polyvore, "name": Description of the fashion item, "price": Price of the fashion item (usually in US dollars), "likes": Number of likes of the item, "image": Image url of the item, "categoryid": Category ID of the item, }, { ... }, ... ], "image": Outfit image url, "likes": Number of likes of the outfit, "date": Upload date of the outfit, "set_url": Outfit url, "set_id": Outfit ID, "desc": Outfit description. } The image URLs are no longer available and they can be accessed on an unofficial [Kaggle page]( https://www.kaggle.com/datasets/dnepozitek/maryland-polyvore-images/data). This file contains the images of 33,375 outfits, which include all 21,889 outfits in polyvore dataset. The other ~11k outfits were uploaded more than 3 years ago. We are afraid that they are out-of-fashion so we do not use them). [category_id.txt](https://github.com/xthan/polyvore-dataset/blob/master/category_id.txt) contains the mapping between category ID and category name. Thanks [Zhenyu](https://github.com/zyyang) for providing it! #### Fill-in-the-blank Fashion Recommendation fill_in_the_blank_test.json contains the questions used to evaluate the fill-in-the-blank fashion recommendation task. It follows the following format: { "question": Fashion item sequence to form the question, "answers": Multiple choice set to choose from, "blank_position": The blank position to be filled in. }, The name of a fashion item is SetID_ItemIndex, _e.g._, 119704139_1 is the fashion item with "index" 1 in the outfit with "set_id" 119704139. The first answer in "answers" is the correct one (_i.e.,_ the original fashion item in the outfit). #### Fashion Compatibility Prediction fashion-compatibility-prediction.txt contains ~7,000 outfits, where 4,000 are incompatible and 3,000 are compatible. In each line, the first number indicates compatibility (1 is compatible, 0 is not) followed by a sequence of fashion items consisting of the outfit. ### Some Notes 0. These outfits are crawled around 02/19/2017, so you can estimate the exact upload date of an outfit by looking at the "date" field. 0. For outfits that contain too many fashion items, we only keep their first 8 items. 0. We delete the fashion items with non-fashion "categoryid" such as background, texts, and decorations. As a result, the indices of items in an outfit may not be consecutive. ### Citation If this dataset helps your research, please cite our paper: @inproceedings{han2017learning, author = {Han, Xintong and Wu, Zuxuan and Jiang, Yu-Gang and Davis, Larry S}, title = {Learning Fashion Compatibility with Bidirectional LSTMs}, booktitle = {ACM Multimedia}, year = {2017}, } ### Other Datasets from Polyvore.com There are several datasets crawled from Polyvore.com: 0. The Elements of Fashion Style. [[paper]](http://ranjithakumar.net/resources/vaccaro-uist2016-fashion.pdf) [[dataset]](https://github.com/kristenvaccaro/fashion-data) 0. Mining Fashion Outfit Composition Using An End-to-End Deep Learning Approach on Set Data. [[paper]](https://arxiv.org/pdf/1608.03016.pdf) [[dataset]](https://github.com/raingo/outfit) 0. NeuroStylist: Neural Compatibility Modeling for Clothing Matching. [[paper]](https://drive.google.com/file/d/0B9ef99fUwsVZbjIxNUlKTFZMWUU/view) [[dataset]](http://neurostylist.farbox.com/) 0. Learning Type-Aware Embeddings for Fashion Compatibility. [[paper]](https://arxiv.org/pdf/1803.09196.pdf)[[dataset]](https://github.com/mvasil/fashion-compatibility)[[cleaned dataset]](https://github.com/AemikaChow/AiDLab-fAshIon-Data/blob/main/Datasets/cleaned-type.md) 0. How Good Is Aesthetic Ability of a Fashion Model? [[paper]](https://openaccess.thecvf.com/content/CVPR2022/papers/Zou_How_Good_Is_Aesthetic_Ability_of_a_Fashion_Model_CVPR_2022_paper.pdf)[[dataset]](https://github.com/AemikaChow/AiDLab-fAshIon-Data/blob/main/Datasets/A100.md) ================================================ FILE: category_id.txt ================================================ 2 Clothing 3 Dresses 4 Day Dresses 5 Cocktail Dresses 6 Gowns 7 Skirts 8 Mini Skirts 9 Knee Length Skirts 10 Long Skirts 11 Tops 15 Tunics 17 Blouses 18 Cardigans 19 Sweaters 21 T-Shirts 23 Outerwear 24 Coats 25 Jackets 26 Vests 27 Jeans 28 Pants 29 Shorts 30 Suits 31 Swimwear 33 Activewear 35 Bags 36 Tote Bags 37 Shoulder Bags 38 Clutches 39 Luggage 40 Wallets 41 Shoes 42 Boots 43 Pumps 46 Sandals 47 Flats 48 Flip Flops 49 Sneakers 50 Slippers 51 Accessories 52 Belts 53 Gloves 55 Hats 56 Ties 57 Sunglasses 58 Hair Accessories 59 Umbrellas 60 Jewelry 61 Watches 62 Necklaces 64 Earrings 65 Rings 343 Men's Tank Tops 67 Brooches 68 Hosiery 69 Socks 71 Men's Fashion 74 Beauty Products 75 Costumes 76 Electronics 77 Font 78 Food & Drink 85 Sleepwear 93 Makeup 94 Skincare 95 Fragrance 96 Bath & Body 97 Haircare 98 Nail Care 99 Beauty Accessories 101 Maternity 102 Baby 104 Tank Tops 105 Scarves 106 Bracelets & Bangles 107 Charms & Pendants 108 Intimates 110 Sports & Outdoors 113 Furniture 115 Sofas 116 Accent Chairs 118 Accent Tables 120 Ottomans 122 Tables 123 Chairs 124 Barstools 126 Beds 127 Dressers 129 Storage & Shelves 130 Bookcases 132 Entertainment Units 135 Lighting 136 Rugs 139 Vases 140 Candles & Candleholders 141 Frames 143 Mirrors 144 Throw Pillows 4241 Fabric 4242 Flooring 147 Office Chairs 4244 Holiday Decorations 150 Hammocks & Swings 4247 Decorative Hardware 4248 Home Fragrance 153 Outdoor Loungers & Day Beds 154 Patio Umbrellas 155 Outdoor Benches 157 Garden Fountains 4254 Small Storage 159 Bedding 160 Sheets & Pillowcases 4257 Wallpaper 162 Blankets 163 Duvet Covers 164 Bed Pillows 166 Bath 167 Bath Towels 168 Shower Curtains 169 Bath Rugs & Mats 170 Bath Accessories 4267 Outdoor Decor 172 Bakeware 173 Cutlery 174 Small Appliances 175 Cookware 176 Kitchen Gadgets & Tools 177 Drinkware 178 Flatware 179 Serveware 180 Table Linens 181 Panel Screens 182 Home Decor 184 Face Makeup 185 Cheek Makeup 186 Eye Makeup 187 Lip Makeup 188 Concealer 189 Foundation 190 Face Powder 191 Tinted Moisturizer 192 Makeup Remover 193 Makeup Primer 194 Blush 195 Cheek Bronzer 4292 Beach Towels 197 Mascara 198 False Eyelashes 199 Eyeliner 200 Lipstick 201 Lip Gloss 202 Lip Pencils 203 Lip Stain 204 Face Care 205 Face Cleansers 206 Face Toners 207 Face Moisturizers 208 Face Masks 209 Eye Care 211 Lip Treatments 213 Body Cleansers 214 Body Moisturizers 216 Hair Removal 217 Sun Care 218 Hair Shampoo 219 Hair Conditioner 220 Styling Products 221 Hair Color 222 Nail Polish 223 Nail Treatments 224 Eyelash Curlers 225 Tweezers & Brow Tools 226 Sharpeners 227 Hair Styling Tools 228 Blow Dryers & Irons 229 Brushes & Combs 231 Bags & Cases 236 Blazers 237 Skinny Jeans 238 Bootcut Jeans 239 Wide Leg Jeans 240 Boyfriend Jeans 241 Leggings 243 Jumpsuits 244 Rompers 245 Bras 246 Panties & Thongs 247 Camisoles 248 Chemises 249 Pajamas 250 Robes 251 Tights 252 Activewear Tops 253 Activewear Pants 254 Activewear Skirts 255 Activewear Shorts 256 Activewear Jackets 257 Sports Bras 258 Messenger Bags 259 Backpacks 260 Briefcases 261 Ankle Booties 262 Mid Calf Boots 263 Knee High Boots 264 Over-The-Knee Boots 265 Loafers & Moccasins 266 Oxfords 267 Clogs 268 Athletic Shoes 270 Sports Accessories 271 Men's Clothing 272 Men's Shirts 273 Men's Sweaters 275 Men's T-Shirts 276 Men's Outerwear 277 Men's Sportcoats & Blazers 278 Men's Jeans 279 Men's Pants 280 Men's Shorts 281 Men's Suits 282 Men's Swimwear 283 Men's Underwear 284 Men's Sleepwear 285 Men's Activewear 286 Men's Activewear Tops 287 Men's Activewear Pants 288 Men's Activewear Shorts 289 Men's Activewear Jackets 290 Men's Bags & Wallets 291 Men's Shoes 292 Men's Boots 293 Men's Sandals 294 Men's Flip Flops 295 Men's Loafers & Moccasins 296 Men's Dress Shoes 297 Men's Sneakers 298 Men's Athletic Shoes 299 Men's Accessories 300 Men's Belts 301 Men's Gloves 302 Men's Scarves 303 Men's Hats 304 Men's Sunglasses 305 Men's Watches 306 Suspenders 307 Cuff Links 308 Pets 309 Activewear Tank Tops 310 Straight Leg Jeans 311 Books 313 Dinnerware 314 Curtains 315 Shapewear 316 Office Accessories 317 Garden Tools 318 Handbags 319 Makeup Brushes 320 Deodorant 321 Gift Cards 4426 Eyewear 4428 Eyeglasses 333 Body Art 334 Men's Grooming 335 Men's Fragrance 4432 Outdoors 4433 Bed Accessories 338 Makeup Tools 339 Manicure Tools 340 Gift Sets & Kits 4437 Fans 342 Men's Polos 4439 Food Storage Containers 4440 Teapots 4441 Kids 4442 Juniors 4443 Jewelry Storage 4445 Cleaning 4446 Cabinets 4447 Men's Eyeglasses 4448 Media 4449 Benches 4450 Kitchen Linens 4451 Party Supplies 4452 Flared Jeans 4454 Men's Casual Shirts 4455 Men's Coats 4456 Men's Jackets 4457 Men's Vests 4458 Men's Casual Pants 4459 Men's Dress Pants 4460 Men's Socks 4461 Men's Bags 4462 Men's Briefcases 4463 Men's Wallets 4464 Men's Oxfords 4465 Men's Slippers 4466 Men's Watches & Jewelry 4467 Men's Key Rings & Chains 4468 Men's Money Clips 4470 Bow Ties 4472 Men's Tech Accessories 4473 Men's Umbrellas 4474 Men's Grooming Bags 4475 Men's Deodorant 4476 Men's Gift Sets & Kits 4477 Men's Shaving 4478 Boys 4479 Girls 4480 Health 4481 Oral Care 4482 Supplements 4483 Napkin Rings 4484 Stools 4485 Outdoor Stools 4486 Aprons 4487 Bedspreads 4488 Children's Furniture 4489 Nursery Furniture 4490 Baby Bedding 4492 Window Blinds 4493 Outdoor Patio Sets 4495 Sweatshirts 4496 Hoodies 4497 Men's Sweatshirts 4498 Men's Hoodies 4499 Dining Chairs 4500 Dining Tables 4501 Bar Cabinets 4502 Standing Fans 4503 Ceiling Lights 4504 Desk Lamps 4505 Floor Lamps 4506 Table Lamps 4507 Wall Lights 4508 Curtain Rods 4509 Children's Room 4510 Children's Bedding 4511 Children's Decor 4512 Home Improvement 4513 Paint 4514 Storage & Organization 4516 Wedding Dresses 4517 Bikini Tops 4518 Bikini Bottoms 4520 Men's Backpacks 4521 Men's Messenger Bags 4522 Men's Work Boots 4523 Men's Bracelets 4524 Men's Necklaces 4525 Men's Rings 4526 Handkerchiefs 4438 Floral Decor 4240 Clocks 146 Desks 148 File Cabinets 4246 Fireplace Accessories 151 Outdoor Tables 152 Outdoor Chairs 949 Toys 161 Comforters 4258 Window Treatments 171 Kitchen & Dining 4269 Patio Furniture 4276 Outdoor Lighting 196 Eyeshadow 3336 Stationery 1605 Bikinis 1606 One Piece Swimsuits 1607 Cover-ups 1967 Tech Accessories 332 Capri & Cropped Pants 4429 Sideboards 4430 Armoires 4431 Nightstands 336 Men's Hair Care 337 Men's Skincare 4434 Quilts & Coverlets 4435 Bar Tools 4436 Cookbooks 341 Men's Dress Shirts