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122
Soc (stadium)
Reuse
5
Top
Ladies
<50
Sports
['Pink']
[]
null
null
null
5
null
No
null
null
95%cotton 5%elastan
Not Applicable
Export
1
T-shirt
Ladies
<50
No trend
['Blue', 'White']
[]
Floral print
null
null
2
null
Yes
null
null
33%cotton 67%polyester
Xlnt (kappahl)
Reuse
4
Dress
Ladies
<50
No trend
['Black']
[]
null
null
null
4
null
No
null
null
100%viscose
Not Applicable
Reuse
4
Sweater
Ladies
<50
No trend
['Red']
[]
null
null
null
5
null
No
null
null
100%cotton
Not Applicable
Export
3
Top
Ladies
<50
Sports
['Black']
[]
null
null
null
5
null
Yes
null
null
100%polyester
Not Applicable
Export
3
Top
Ladies
<50
Sports
['Black', 'Pink']
[]
Animal print
null
null
5
null
Yes
null
null
100%polyester
Kappahl
Export
2
Shirt
Ladies
<50
No trend
['Purple', 'Green', 'White']
[]
Floral print
null
null
4
null
No
null
null
100%cotton
Not Applicable
Export
2
Shirt
Ladies
<50
No trend
['Purple', 'White']
[]
Striped
null
null
2
null
No
null
null
100%polyester
Not Applicable
Export
4
Sweater
Ladies
<50
No trend
['Purple']
[]
null
null
null
3
null
No
null
null
100%acryl
Not Applicable
Reuse
4
Dress
Ladies
<50
No trend
['Purple', 'Red', 'Black', 'Yellow', 'Blue', 'Pink']
[]
Floral print
null
null
4
null
No
null
null
100%viscose
Gina Tricot
Reuse
5
Dress
Ladies
50-100
No trend
['Purple']
[]
null
null
null
5
null
No
null
null
100%viscose
Not Applicable
Export
4
T-shirt
Ladies
<50
No trend
['White']
[]
null
null
null
5
null
Yes
null
null
100%cotton
Not Applicable
Export
1
Shirt
Ladies
<50
No trend
['Purple']
[]
null
null
null
4
null
Yes
null
null
100%cotton
Not Applicable
Export
3
Shirt
Ladies
<50
No trend
['Blue']
[]
Lace
null
null
3
null
No
null
null
100%nylon
Not Applicable
Reuse
4
Shirt
Ladies
50-100
No trend
['White']
[]
null
null
null
5
null
No
null
null
100%cotton
Lager 157
Reuse
4
Top
Ladies
<50
No trend
['White']
[]
null
null
null
4
null
No
null
null
100%cotton
Not Applicable
Reuse
4
Top
Ladies
<50
No trend
['White']
[]
null
null
null
4
null
No
null
null
53%cotton 47%polyester
Kappahl
Export
4
Top
Ladies
<50
No trend
['White', 'Black']
[]
Dots
null
null
4
null
Yes
null
null
100%cotton
Kappahl
Export
3
Shirt
Ladies
<50
No trend
['Blue']
[]
null
null
null
3
null
No
null
null
69%cotton 31%viscose
Not Applicable
Export
3
Top
Ladies
<50
No trend
['White']
[]
null
null
null
4
null
Yes
null
null
100%cotton
Isolde
Reuse
4
Blouse
Ladies
50-100
No trend
['Purple']
[]
Lace
null
null
5
null
No
null
null
100%polyester
Not Applicable
Reuse
4
Blazer
Ladies
100-150
No trend
['Black']
[]
Floral print
null
null
4
null
No
null
null
34%polyester 66%viscose
Carin Wester
Reuse
4
Blouse
Ladies
50-100
No trend
['Black']
[]
null
null
null
4
null
No
null
null
100%polyester
Not Applicable
Export
4
Blouse
Ladies
<50
No trend
['White', 'Green', 'Yellow', 'Pink', 'Orange']
[]
Floral print
null
null
5
null
Yes
null
null
100%polyester
Not Applicable
Reuse
4
Dress
Ladies
100-150
90s
['Multicolor', 'Red', 'Green', 'Black']
['Collar']
Floral print
All
null
5
0
Yes
null
null
89% poly14% ull
H&m
Export
2
Sweater
Ladies
<50
No trend
['Multicolor', 'Black', 'Purple']
['Cropped']
Animal print
All
null
1
0
Yes
null
null
100% Acryl
Kappahl
Reuse
3
Sweater
Ladies
50-100
80s
['Red']
['Loose']
null
All
null
2
0
Yes
null
null
100% Acryl
Not Applicable
Export
2
Dress
Ladies
<50
No trend
['Multicolor', 'Pink', 'Black', 'Purple']
['Collar']
Floral print
All
null
2
0
Yes
null
null
100% poly
Bikbok
Export
4
Top
Ladies
50-100
No trend
['Multicolor', 'Purple', 'White', 'Grey']
['V-collar']
Floral print
All
null
5
0
No
null
null
100% poly
Rosebud
Export
2
Top
Ladies
50-100
No trend
['Multicolor', 'White', 'Black']
['V-collar']
Plain
All
null
5
0
No
null
null
100% poly
Not Applicable
Export
4
Shirt
Ladies
50-100
No trend
['Beige']
['Collar']
null
All
null
5
1
No
null
null
100% cotton
Not Applicable
Export
1
Sweater
Ladies
<50
No trend
['Green']
['V-collar']
null
Winter
null
5
6
No
null
null
100% wool
Free Quent
Export
1
Top
Ladies
<50
No trend
['Orange']
['Turtle neck']
null
All
null
1
1
Yes
null
null
100% viscose
Not Applicable
Export
3
Sweater
Ladies
50-100
No trend
['pink']
['Collar']
null
Winter
null
5
0
Yes
null
null
100% wool
H&m
Export
3
T-shirt
Ladies
50-100
No trend
['Green']
['Loose']
Logo print
All
null
5
0
Yes
null
null
100% cotton
Odd Molly
Export
3
Sweater
Ladies
100-150
No trend
['Pink']
['C-collar']
null
All
null
5
0
No
null
null
100% cotton
Not Applicable
Export
3
Blouse
Ladies
50-100
No trend
['Multicolor', 'Red', 'Pink', 'Green']
['V-collar']
Floral print
All
null
5
2
Yes
null
null
100% poly
H&m
Export
3
T-shirt
Ladies
50-100
No trend
['Black']
['C-collar']
Logo print
All
null
5
0
Yes
null
null
63% cotton 37% viscose
Not Applicable
Export
3
T-shirt
Ladies
50-100
No trend
['Multicolor', 'Beige', 'Pink', 'Grey']
['V-collar']
Animal print
All
null
5
0
Yes
null
null
79% cotton 22% Acryl
Isolde
Export
4
Top
Ladies
50-100
No trend
['Multicolor', 'Pink', 'Grey', 'White']
['V-collar']
Striped
All
null
4
0
Yes
null
null
100% cotton
Not Applicable
Export
4
Top
Ladies
50-100
No trend
['Green']
['V-collar']
null
All
null
5
0
Yes
null
null
100% viscose
Not Applicable
Export
2
Blouse
Ladies
50-100
No trend
['Multicolor', 'White', 'Black']
['V-collar']
Plain
All
null
2
0
No
null
null
100% viscose
Vila
Export
4
T-shirt
Ladies
50-100
No trend
['Pink']
['C-collar']
null
All
null
4
0
No
null
null
100% viscose
Not Applicable
Export
2
T-shirt
Ladies
50-100
No trend
['Grey']
['C-collar']
Logo print
All
null
5
1
No
null
null
100% Polyester
Not Applicable
Export
3
Tank Top
Ladies
50-100
No trend
['Multicolor', 'White', 'Blue']
['C-collar']
null
All
null
5
0
Yes
null
null
100% cotton
H&m
Export
2
Dress
Ladies
50-100
No trend
['Multicolor', 'White', 'Grey']
['C-collar']
Striped
All
null
4
0
No
null
null
100% cotton
Not Applicable
Export
2
Tunic
Ladies
<50
No trend
['Green']
['Long']
null
All
null
5
0
Yes
null
null
100% cotton
Not Applicable
Export
3
Tunic
Ladies
<50
No trend
['Black', 'White']
['Long']
Floral print
All
null
2
0
Yes
null
null
100% viscose
Gina Tricot
Reuse
4
T-shirt
Ladies
<50
No trend
['White']
[]
Lace
null
null
4
null
No
null
null
100%polyester
Rosebud
Export
3
Blouse
Ladies
<50
No trend
['White', 'Black']
[]
Dots
null
null
3
null
No
null
null
100%viscose
Masai
Export
2
Blouse
Ladies
<50
No trend
['White', 'Black', 'Grey', 'Pink']
[]
null
null
null
3
null
Yes
null
null
100%viscose
Kappahl
Export
2
Nightgown
Ladies
<50
No trend
['Pink']
[]
null
null
null
4
null
Yes
null
null
100%polyester
Not Applicable
Export
3
T-shirt
Ladies
<50
No trend
['White']
[]
Logo print
null
null
3
null
No
null
null
100%cotton
H&m
Export
2
T-shirt
Ladies
<50
No trend
['Green']
[]
null
null
null
3
null
No
null
null
100%cotton
Not Applicable
Export
2
T-shirt
Ladies
<50
No trend
['Black']
[]
null
null
null
3
null
Yes
null
null
80%cotton 20%wool
Everest
Reuse
5
T-shirt
Ladies
50-100
No trend
['Green']
[]
Logo print
null
null
5
null
No
null
null
100%cotton
Kappahl
Export
2
Nightgown
Ladies
<50
No trend
['Red']
[]
Lace
null
null
4
null
Yes
null
null
100%viscose
Me & I
Reuse
4
T-shirt
Ladies
<50
No trend
['White', 'Blue']
[]
Geometric print
null
null
4
null
No
null
null
100%cotton
Not Applicable
Export
2
Sweater
Ladies
<50
No trend
['Blue']
[]
Logo print
null
null
4
2
Yes
null
null
100%cotton
Vero Moda
Export
2
Cardigan
Ladies
<50
No trend
['Beige']
[]
null
null
null
3
2
No
null
null
100%cotton
H&m
Export
4
Jacker
Ladies
100-150
No trend
['Black']
[]
null
null
null
5
null
Yes
null
null
34%cotton 66%polyester
Lindex
Reuse
4
Top
Ladies
50-100
No trend
['Blue']
[]
null
null
null
4
null
No
null
null
74%cotton 26%polyester
Logg (h&m)
Export
1
Cardigan
Ladies
<50
No trend
['Pink']
[]
null
null
null
3
null
Yes
null
null
85%cotton 15%polyester
Free Quent
Reuse
4
Dress
Ladies
50-100
No trend
['Grey', 'White', 'Beige']
[]
Geometric print
null
null
4
null
No
null
null
100%acryl
H&m
Reuse
4
Tank Top
Ladies
50-100
No trend
['White', 'Black']
[]
Striped
null
null
4
null
No
null
null
96%cotton 4%elastan
H&m
Export
3
Tank Top
Ladies
<50
No trend
['White', 'Black']
[]
Striped
null
null
3
null
No
null
null
100%cotton
Bikbok
Reuse
5
Tank Top
Ladies
50-100
No trend
['White']
[]
null
null
null
5
null
No
null
null
95%cotton 5%elastan
Not Applicable
Export
3
T-shirt
Ladies
<50
No trend
['Blue']
[]
null
null
null
5
null
Yes
null
null
80%viscose 20%polyester
Not Applicable
Reuse
4
Sweater
Ladies
100-150
No trend
['Black']
[]
Logo print
null
null
4
null
No
null
null
100%cotton
Not Applicable
Export
2
Sweater
Ladies
<50
No trend
['Blue']
[]
null
null
null
3
null
Yes
null
null
81%viscose 19%polyester
Not Applicable
Export
1
Cardigan
Ladies
<50
No trend
['White']
[]
Logo print
null
null
3
null
Yes
null
null
100%cotton
Soc (stadium)
Export
3
Jacker
Ladies
<50
Sports
['White']
[]
null
null
null
5
null
Yes
null
null
73%nylon 27%polyester
Holly And Whyte (lindex)
Export
3
Sweater
Ladies
<50
No trend
['Red']
[]
null
null
null
3
null
No
null
null
73%viscose 27%polyester
Indiska
Reuse
4
Sweater
Ladies
<50
No trend
['Red']
[]
null
null
null
4
null
No
null
null
54%acryl 46%cotton
Free Quent
Export
2
Dress
Ladies
<50
No trend
['Black']
[]
null
null
null
2
null
Yes
null
null
100%viscose
Not Applicable
Reuse
4
Cardigan
Ladies
50-100
No trend
['Black']
[]
Logo print
null
null
4
null
No
null
null
82%cotton 18%polyester
Not Applicable
Export
2
T-shirt
Ladies
<50
No trend
['Black']
[]
null
null
null
2
null
No
null
null
100%cotton
Not Applicable
Reuse
4
Sweater
Ladies
50-100
No trend
['Blue']
[]
Logo print
null
null
5
null
No
null
null
69%cotton 31%polyester
Not Applicable
Export
2
T-shirt
Ladies
<50
No trend
['Pink']
[]
Logo print
null
null
2
null
Yes
null
null
100%cotton
Not Applicable
Reuse
4
Dress
Ladies
50-100
No trend
['Red']
[]
null
null
null
5
null
No
null
null
100%polyester
Not Applicable
Export
2
Sweater
Ladies
<50
No trend
['Blue']
[]
Geometric print
null
null
3
1
No
null
null
100%wool
Not Applicable
Reuse
5
Dress
Ladies
50-100
No trend
['Pink']
[]
null
null
null
5
null
No
null
null
100%cotton
Not Applicable
Export
3
Sweater
Ladies
<50
No trend
['Blue', 'Grey']
[]
null
null
null
3
2
No
null
null
75%acryl 25%wool
Not Applicable
Reuse
4
Sweater
Ladies
50-100
No trend
['Red']
[]
null
null
null
4
null
No
null
null
67%acryl 33%wool
Not Applicable
Reuse
4
T-shirt
Ladies
<50
No trend
['Pink']
[]
Lace
null
null
4
null
No
null
null
100%cotton
Not Applicable
Reuse
5
Dress
Ladies
50-100
No trend
['Red', 'Black', 'White', 'Beige', 'Grey', 'Brown']
[]
Floral print
null
null
5
null
No
null
null
100%polyester
Lager 157
Reuse
5
T-shirt
Ladies
50-100
No trend
['Black', 'Beige', 'Purple', 'Pink', 'Blue']
[]
Floral print
null
null
5
null
No
null
null
100%polyester
Not Applicable
Reuse
4
Shirt
Ladies
<50
No trend
['Blue', 'White']
[]
Striped
null
null
4
null
No
null
null
100%cotton
Not Applicable
Export
2
Sweater
Ladies
<50
No trend
['Blue', 'White']
[]
Geometric print
null
null
3
null
Yes
null
null
100%cotton
Not Applicable
Reuse
4
Blouse
Ladies
<50
No trend
['Green']
[]
null
null
null
4
null
No
null
null
100%cotton
Isolde
Export
3
Blouse
Ladies
<50
No trend
['Grey']
[]
Glitter
null
null
3
null
No
null
null
35%cotton 65%polyester
Not Applicable
Export
2
Top
Ladies
<50
No trend
['Grey']
[]
Floral print
null
null
3
null
Yes
null
null
70%cotton 30%wool
Not Applicable
Export
1
Shirt
Ladies
<50
No trend
['White']
[]
null
null
null
3
null
Yes
null
null
100%cotton
Isolde
Export
2
Cardigan
Ladies
<50
No trend
['Black']
[]
null
null
null
3
null
Yes
null
null
76%viscose 24%nylon
Not Applicable
Export
2
Sweater
Ladies
<50
No trend
['Blue']
[]
null
null
null
3
null
Yes
null
null
100%cotton
Not Applicable
Export
4
T-shirt
Ladies
<50
No trend
['Pink']
[]
null
null
null
5
null
Yes
null
null
100%viscose
Not Applicable
Reuse
4
Dress
Ladies
50-100
No trend
['White']
[]
null
null
null
5
null
No
null
null
100%viscose
Not Applicable
Export
2
Top
Ladies
<50
No trend
['Red']
[]
null
null
null
4
null
No
null
null
100%silk
Not Applicable
Reuse
4
T-shirt
Ladies
<50
No trend
['Purple', 'White', 'Green']
[]
Floral print
null
null
4
null
No
null
null
100%polyester
Not Applicable
Export
3
Cardigan
Ladies
<50
No trend
['Purple', 'White']
[]
null
null
null
3
null
No
null
null
100%acryl
End of preview. Expand in Data Studio

Clothing Dataset for Second-Hand Fashion

This dataset contains only the front image and labels from version 3 of the following dataset released on zenodo:

Clothing Dataset for Second-Hand Fashion

Three changes were made:

  • Front image: Only front image is uploaded here. Back and brand image are not.
  • Background removal: The background from the front image was removed using BiRefNet, which only supports up to 1024x1024 images - larger images were resized. The background removal is not perfect - some artifacts remain.
  • Rotation: The images were rotated to have a vertical orientation. Our internal experiments showed that just re-orienting the images can boost zero-shot performance.

The following contains most of the details copied from the original source at zenodo.

Code

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("fnauman/fashion-second-hand-front-only-rgb")

# Access the training split
train_dataset = dataset["train"]

# Print basic information
print(f"Dataset size: {len(train_dataset)} images") # 28248
print(f"Features: {train_dataset.features}") # 19

# Access an example
example = train_dataset[0]

image = example["image"]
# # Display the image - notebook
# from IPython.display import display
# display(example["image"])

print(f"Brand: {example['brand']}, Category: {example['category']}")
# Output: Brand: Soc (stadium), Category: Ladies

Dataset Details

Dataset Description

The dataset originates from projects focused on the sorting of used clothes within a sorting facility. The primary objective is to classify each garment into one of several categories to determine its ultimate destination: reuse, reuse outside Sweden (export), recycling, repair, remake, or thermal waste.

The dataset has 31,638 clothing items, a massive update from the 3,000 items in version 1. The dataset collection started under the Vinnova funded project "AI for resource-efficient circular fashion" in Spring, 2022 and involves collaboration among three institutions: RISE Research Institutes of Sweden AB, Wargön Innovation AB, and Myrorna AB. The dataset has received further support through the EU project, CISUTAC (cisutac.eu).

Dataset Sources

Uses

  • Usage prediction in sorting facilities.
  • Detection of attributes that are specific to used or second-hand garments: condition scale (1-5), stains, holes, etc.

Dataset Structure

  • The dataset contains 31,638 clothing items, each with a unique item ID in a datetime format. The items are divided into three stations: station1, station2, and station3. The station1 and station2 folders contain images and annotations from Wargön Innovation AB, while the station3 folder contains data from Myrorna AB. Each clothing item has three images and a JSON file containing annotations.

  • Three images are provided for each clothing item:

    1. Front view.
    2. Back view.
    3. Brand label close-up. About 4000-5000 brand images are missing because of privacy concerns: people's hands, faces, etc. Some clothing items did not have a brand label to begin with.
  • Image resolutions are primarily in two sizes: 1280x720 and 1920x1080. The background of the images is a table that used a measuring tape prior to January 2023, but later images have a square grid pattern with each square measuring 10x10 cm.

  • Each JSON file contains a list of annotations, some of which require nuanced interpretation (see labels.py for the options):

    • usage: Arguably the most critical label, usage indicates the garment's intended pathway. Options include 'Reuse,' 'Repair,' 'Remake,' 'Recycle,' 'Export' (reuse outside Sweden), and 'Energy recovery' (thermal waste). About 99% of the garments fall into the 'Reuse,' 'Export,' or 'Recycle' categories.

    • trend: This field refers to the general style of the garment, not a time-dependent trend as in some other datasets (e.g., Visuelle 2.0). It might be more accurately labeled as 'style.'

    • material: Material annotations are mostly based on the readings from a Near Infrared (NIR) scanner and in some cases from the garment's brand label.

    • Damage-related attributes include:

      • condition (1-5 scale, 5 being the best)
      • pilling (1-5 scale, 5 meaning no pilling)
      • stains, holes, smell (each with options 'None,' 'Minor,' 'Major').

      Note: 'holes' and 'smell' were introduced after November 17th, 2022, and stains previously only had 'Yes'/'No' options. For station1 and station2, we introduced additional damage location labels to assist in damage detection:

        "damageimage": "back",
        "damageloc": "bottom left",
        "damage": "stain ",
        "damage2image": "front",
        "damage2loc": "None",
        "damage2": "",
        "damage3image": "back",
        "damage3loc": "bottom right",
        "damage3": "stain"
      

      Taken from labels_2024_04_05_08_47_35.json file. Additionally, we annotated a few hundred images with bounding box annotations that we aim to release at a later date.

    • comments: The comments field is mostly empty, but sometimes contains important information about the garment, such as a detailed text description of the damage.

  • Whenever possible, ISO standards have been followed to define these attributes on a 1-5 scale (e.g., pilling).

  • Gold dataset: 100 garments were annotated multiple times by different annotators for annotator agreement comparisons. These 100 garments are placed inside a separate folder test100.

  • The data has been annotated by a group of expert second-hand sorters at Wargön Innovation AB and Myrorna AB.

  • Some attributes, such as price, should be considered with caution. Many distinct pricing models exist in the second-hand industry:

    • Price by weight
    • Price by brand and demand (similar to first-hand fashion)
    • Generic pricing at a fixed value (e.g., 1 Euro or 10 SEK)

    Wargön Innovation AB does not set the prices in practice and their prices are suggestive only (station1 and station2). Myrorna AB (station3), in contrast, does resale and sets the prices.

Citation

Nauman, F. (2024). Clothing Dataset for Second-Hand Fashion (Version 3) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.13788681

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