Polyvore |
1 | “Sets” on Polyvore [59] | 2015 | 150 | 83k | NA | C | Outfit = Top + Bottom + Shoes. | [59] |
2 | Maryland Polyvore [42] | 2017 | NA | 16k | 22k | C, T | Outfit lengths are varied and less than 8. | [18, 19, 42, 66, 67, 87, 115, 138, 148, 176] |
3 | FashionVC [143] | 2017 | 248 | 29k | 21k pairs | C, I, T | Outfit = Top + Bottom. | [84, 91, 92, 143, 176] |
4 | Li’s Polyvore [82] | 2017 | NA | 368k | 195k | C, T | Outfit length is 4; Category taxonomy is unstructured. | [82] |
5 | Polyvore 409 [150] | 2017 | NA | 644k | 409k | C, I, T | Outfit lengths are varied; Likes and comments of outfits are given. | [149, 150] |
6 | Polyvore Outfits-D [157] | 2018 | NA | 32k | 175k | C, T | Outfit lengths are varied and less than 16; Categories are fine-grained. | [157] |
7 | Polyvore Outfits [157] | 2018 | NA | 365k | 68k | C, T | Outfit lengths are varied and less than 19; Categories are fine-grained. | [18, 72, 80, 87, 93, 100, 138, 148, 157] |
8 | ExpFashion [91] | 2018 | NA | 51k | 201k | C | Outfit = Top + Bottom; Each outfit has several comments. | [91] |
9 | Capsule [56] | 2018 | NA | 7,478 | 3,759 | C, I, H | Each item is labeled with the season, occasion and function to wear it. | [56, 72] |
10 | FashionVC+ [94] | 2019 | 248 | 29k | 21k | C, I, T | Outfit = Top + Bottom + Shoes | [94] |
11 | Polyvore-U [106] | 2019 | 630 | 205k | 150k | C, I | Outfit = Top + Bottom + Shoes; Four versions of data in total and the largest version is shown here. | [105, 106] |
12 | Polyvore-T [165] | 2019 | NA | 84k | 20k | C, I, T, V | Each outfit contains 3–5 items belonging to main categories. | [165] |
13 | Feng’s Polyvore [35] | 2019 | NA | 7.53M | 1.56M | C, I, V | Each outfit is associated with the number of likes. | [35] |
14 | Polania’s Polyvore [122] | 2019 | NA | NA | 14k | / | Each outfit is composed of at least 2 items. | [122] |
15 | Lin’s Polyvore [90] | 2020 | 150 | 159k | 66k | / | Over 68% of fashion outfits are liked by one user only. | [90] |
16 | EVALUATION3 [198] | 2020 | NA | NA | 18k pairs | I, A | Each top-bottom pair is labeled for its fashionability (good/bad/normal) by fashion experts with reasons. | [198] |
17 | Moosaei’s Polyvore [114] | 2020 | NA | 256k | 50k | I, T | Included users have over 100k followers; Each outfit contains at least two items and five, on average. | [114] |
Other fashion communities (Instagram, Flickr, Pinterest, chictopia, etc) |
18 | Magazine [61] | 2011 | NA | NA | 14,813 | NA | | [61] |
19 | WOW (Flickr) [99] | 2012 | NA | 34k | 24k | A, O | It is specifically for occasion-oriented clothing recommendation. | [99] |
20 | Fashion-136K (street) [62] | 2014 | 8,357 | NA | 136k | I, H, B, L | It contains street photos in various poses and complex backgrounds. | [62] |
21 | Fashion144k (Chictopia) [137] | 2015 | 14,287 | NA | 144k | I, T, H | Each post contains an outfit containing 3.22 fashion items, on average. | [137] |
22 | Street Fashion (street) [197] | 2018 | NA | NA | 1M pairs | / | The fashion pairs are generated from 100k street photographs. | [197] |
23 | FashionKE (Instagram) [109] | 2019 | NA | NA | 81k | C, A, O | It contains full-body human image. | [109, 159] |
24 | Lookastic (Lookastic) [175] | 2019 | NA | 15k | 31k | C, I, A | The dataset is divided into two parts: women and men. | [175] |
25 | Fashion Takes Shape (Chictopia) [130] | 2019 | 180 | NA | 18k | C, I | Each image is labeled with the body shape (average or above average) of the user. | [130] |
26 | Shop the Look (Pinterest) [69] | 2019 | NA | 38k | 72k | C, I | Outfit = Top + Bottom; Both the product and scene-product pair images are provided; Product is labeled with bounding box in images. | [69] |
27 | Fashionist [159, 160] | 2020 | NA | NA | 2893 | C, A, O | It contains fashion images with natural backgrounds. | [159, 160] |
28 | SocialMediaRec (Lookbook) [193] | 2020 | 2293 | NA | 229k | C, T, H | Included users have over 7k fans and 100 selfie posts; Age, likes, and fans of users are given. | [193] |
Amazon |
29 | Clothing, Shoes and Jewelry [68, 110] | 2015 | NA | 1.5M (2014) 2.7M (2018) | NA | T, I, C | It provides detailed user–item interaction information including reviewer, rating and time; Price and brand information is partially given. | [17, 18, 45, 47, 54, 68, 110, 135, 158, 174, 181] |
30 | bodyFashion [30] | 2019 | 12k | 76k | NA | C, I, T | User-item interaction records with size and rating on items. | [30] |
31 | Amazon Fashion Dataset [100] | 2020 | NA | NA | 60k | C, O, S | This dataset is specifically for fashion collocation. | [100, 146] |
Taobao |
32 | Taobao | 2017 | NA | 61k | 406k pairs | C | Item pairs are matched by the fashion experts. | [192, 197] |
33 | OSA (Taobao, JD, etc) [197] | 2018 | NA | 20k | NA | / | Each item is described with two–three images of different human postures in various background. | [197] |
34 | iFashion [13] | 2019 | 3.6M | 4.5M | 127k | C, I, T | Each outfit has at least four items; Each user interacts with over 40 outfits. | [13, 81, 90] |
Other e-commerce platforms (IQON, Net-A-Porter, etc) |
35 | E-commerce matching (Net-A-Porter, etc) [97] | 2018 | NA | 50k | 68k pairs | I, T | Images for items are multi-view; Item descriptions covers information of category, brand, price etc; Items are matched by the fashion experts. | [97] |
36 | Style4Body -Shape[52] | 2018 | 270 | NA | 348k | I | Body measurements of different users are given. | [50, 52] |
37 | IQON (IQON) [115] | 2018 | NA | 200k | 89k | I | Each outfit is liked for at least 50 times. | [115] |
38 | IQON3000 (IQON) [144] | 2019 | 3,568 | 672k | 309k | C, I, A, T | Each outfit has the price information and the number of likes. | [105, 128, 144, 186] |
39 | Zhou (Zalora, ASOS, etc) [196] | 2019 | NA | NA | NA | C, I, T | It contains full-body, half-body, product and detailed images, as well as the brand and price information. | [196] |
40 | IQON (IQON) [178] | 2020 | NA | NA | 29k | C, I | Each outfit has been liked by over 70 people; Categories are fine-grained. | [178] |
41 | FOTOS (SSENSE) [31] | 2020 | NA | 11k | 20k | I, T | Each outfit is worn by one model in standard front-view pose. | [31] |
42 | VIBE (Birdsnest) [57] | 2020 | 68 | 1957 | NA | I, T | It contains dresses worn by models, different body shapes and the measurements are given. | [57] |
43 | [160] | 2020 | NA | NA | 2893 | C, I, A, O | User information such as age and gender are given. | [159, 160] |