from millions of photos world-wide clothing styles
TRANSCRIPT
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StreetStyle: Exploring world-wide clothing styles from millions of photosKevin Matzen, Kavita Bala, and Noah SnavelyExperiments by: Angela Lin and Lakshay Narula
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StreetStyle Dataset Statistics
Size:● Total: 27084 entries● 23908 Distinct Instagram Posts
Fields Associated With Each Image:● City ID● Month ID● Upload Time● Upload Location● Bounding Box Coordinates● Image Size● Attribute Annotations Original Image Cropped Image
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Cities in the dataset
● Bangkok● Beijing● Berlin● Bogotá● Budapest● Buenos Aires● Cairo● Delhi● Dhaka● Guangzhou● Istanbul● Jakarta● Karachi● Kiev● Kolkata● Lagos● London
● Los Angeles● Madrid● Manila● Mexico City● Milan● Moscow● Mumbai● New York City● Osaka● Paris● Rio de Janeiro● Rome● São Paulo● Seoul● Shanghai● Sofia● Sydney
● Tianjin● Tokyo
Missing Cities:● Austin● Chicago● Johannesburg● Nairobi● Seattle● Singapore● Toronto● Vancouver
Number of Samples in Each City
Median: 755 Samples
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Examples from the dataset
Clothing Category T-shirt Tank topShirt Outerwear Dress SweaterSuit
Neckline Shape Round Folded V-shape Sleeve Length Long Sleeve Short Sleeve No Sleeve
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Style In The Wild
Varying Image QualityMultiple People & Occlusions Variation in Pose
Cultural Holidays Variety of Sources
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Co-occurrence Trends Using Conditional Probabilities
Style based Functionality based Reasonable Dependencies
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Attributes Occur Outside of Bounding Boxes
Sleeve Length: Long Sleeve
Sleeve Length: Short Sleeve Label: Dress Category
Label: Floral Clothing Pattern
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Purpose
The paper has the following theme:1. Need large data to find trends2. Large data tough to label3. Label 27K images4. Train a CNN to generate features, cluster to find trends
However…1. We don’t have access to code2. We don’t have access to the large dataset (>10 million images)3. We do have access to the labeled 27K images
These set of experiments attempt to expose possible interesting trends in the dataset that could be explored!
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Image Upload Trends
Slight increase in uploads on weekends!
We normalize all results by the average upload frequency to observe true trends.
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Daily Trends
Higher fraction of glasses during day time might suggest about 3% presence of sunglasses!
Black color appears to be more popular at night.
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Weekly Trends
Slight preference for round neckline on weekends!
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Instagram and Demographics (NYC)
Instagram uploads, population density, and median income are all positively correlated.
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Instagram and Demographics (LA)
Instagram uploads and population density are positively correlated, but the median income is negatively correlated!
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Intra-city Trends (NYC)
● Black dominates the Manhattan region● White and multiple colors comparatively more trendy elsewhere
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Intra-city Trends (LA)
● Black and white predominant in downtown region● Blue comparatively more popular elsewhere
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Intra-city Trends (NYC)
● T-shirts more popular elsewhere, as compared to Manhattan
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Intra-city Trends (LA)
● T-shirts more popular elsewhere, as compared to downtown area
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Thanks for listening!Check out our code at: https://github.com/angelaslin/streetstyle-experiment