Image Classification
Transformers
Safetensors
siglip
multi-label
fashion
apparel
manufacturing
quality-control
siglip2
Instructions to use resoa/garment-attributes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use resoa/garment-attributes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="resoa/garment-attributes") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("resoa/garment-attributes") model = AutoModelForImageClassification.from_pretrained("resoa/garment-attributes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add derived 13-group nickname sub-taxonomy
Browse files- nickname_taxonomy.json +129 -0
nickname_taxonomy.json
ADDED
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@@ -0,0 +1,129 @@
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| 1 |
+
{
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| 2 |
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"source": "derived from Fashionpedia label_space nickname bucket",
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| 3 |
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"method": "regex on parenthetical suffix (82/96) + qwen3.8:27b for 14 residuals, all 14 verified by inspection",
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| 4 |
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"validation": "each group maps 1:1 to a Fashionpedia COCO category (100%); within-group exclusivity 0.944-1.000",
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"groups": {
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"dress": [
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| 7 |
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"blouson (dress)",
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| 8 |
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"bodycon (dress)",
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| 9 |
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"gown",
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| 10 |
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"halter (dress)",
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| 11 |
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"jumper (dress)",
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| 12 |
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"kaftan",
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| 13 |
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"sheath (dress)",
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| 14 |
+
"shift (dress)",
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| 15 |
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"shirt (dress)",
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| 16 |
+
"skater (dress)",
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| 17 |
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"slip (dress)",
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| 18 |
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"sundress",
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| 19 |
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"sweater (dress)",
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| 20 |
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"tunic (dress)",
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| 21 |
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"wrap (dress)"
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| 22 |
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],
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| 23 |
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"sleeve": [
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"bell (sleeve)",
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| 25 |
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"bishop (sleeve)",
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| 26 |
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"cap (sleeve)",
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| 27 |
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"circular flounce (sleeve)",
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| 28 |
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"dolman (sleeve), batwing (sleeve)",
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| 29 |
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"dropped-shoulder sleeve",
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| 30 |
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"kimono (sleeve)",
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| 31 |
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"leg of mutton (sleeve)",
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| 32 |
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"poet (sleeve)",
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| 33 |
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"puff (sleeve)",
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| 34 |
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"raglan (sleeve)",
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| 35 |
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"set-in sleeve",
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| 36 |
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"tulip (sleeve)"
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| 37 |
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],
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| 38 |
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"jacket": [
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"biker (jacket)",
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| 40 |
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"blazer",
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| 41 |
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"bomber (jacket)",
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| 42 |
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"crop (jacket)",
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| 43 |
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"norfolk (jacket)",
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| 44 |
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"puffer (jacket)",
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| 45 |
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"track (jacket)",
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| 46 |
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"trucker (jacket)",
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| 47 |
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"tuxedo (jacket)"
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| 48 |
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],
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| 49 |
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"pants": [
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"capri (pants)",
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| 51 |
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"crop (pants)",
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| 52 |
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"culottes",
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| 53 |
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"hip-huggers (pants)",
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| 54 |
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"jeans",
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| 55 |
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"leggings",
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| 56 |
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"peg (pants)",
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| 57 |
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"sailor (pants)",
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| 58 |
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"sweatpants"
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| 59 |
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],
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| 60 |
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"pocket": [
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| 61 |
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"cargo (pocket)",
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| 62 |
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"curved (pocket)",
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| 63 |
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"flap (pocket)",
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| 64 |
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"kangaroo (pocket)",
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| 65 |
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"patch (pocket)",
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| 66 |
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"seam (pocket)",
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| 67 |
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"slash (pocket)",
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| 68 |
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"welt (pocket)"
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| 69 |
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],
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| 70 |
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"collar": [
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| 71 |
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"banded (collar)",
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| 72 |
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"mandarin (collar)",
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| 73 |
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"oversized (collar)",
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| 74 |
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"peter pan (collar)",
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| 75 |
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"polo (collar)",
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| 76 |
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"regular (collar)",
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| 77 |
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"shirt (collar)",
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| 78 |
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"stand-away (collar)"
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| 79 |
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],
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| 80 |
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"top": [
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"camisole",
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| 82 |
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"crop (top)",
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| 83 |
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"halter (top)",
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| 84 |
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"hoodie",
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| 85 |
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"peasant (top)",
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| 86 |
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"tank (top)",
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| 87 |
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"tube (top)",
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| 88 |
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"tunic (top)"
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],
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| 90 |
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"skirt": [
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"ball gown (skirt)",
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| 92 |
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"dirndl (skirt)",
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| 93 |
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"hobble (skirt)",
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| 94 |
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"rah-rah (skirt)",
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| 95 |
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"sheath (skirt)",
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| 96 |
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"skater (skirt)"
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| 97 |
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],
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| 98 |
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"coat": [
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| 99 |
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"blanket (coat)",
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| 100 |
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"parka",
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| 101 |
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"pea (coat)",
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| 102 |
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"teddy bear (coat)",
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| 103 |
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"trench (coat)",
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| 104 |
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"wrap (coat)"
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| 105 |
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],
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| 106 |
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"lapel": [
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| 107 |
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"napoleon (lapel)",
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| 108 |
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"notched (lapel)",
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| 109 |
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"oversized (lapel)",
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| 110 |
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"peak (lapel)",
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| 111 |
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"shawl (lapel)"
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| 112 |
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],
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| 113 |
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"shorts": [
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| 114 |
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"bermuda (shorts)",
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| 115 |
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"lounge (shorts)",
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| 116 |
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"roll-up (shorts)",
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| 117 |
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"short (shorts)"
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| 118 |
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],
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| 119 |
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"shirt": [
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| 120 |
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"polo (shirt)",
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| 121 |
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"sailor (shirt)",
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| 122 |
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"undershirt"
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| 123 |
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],
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| 124 |
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"t-shirt": [
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| 125 |
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"classic (t-shirt)",
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| 126 |
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"raglan (t-shirt)"
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| 127 |
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]
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| 128 |
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}
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| 129 |
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}
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