Image Classification
OpenCLIP
English
fashion
attribute-extraction
product-attributes
catalog-enrichment
e-commerce
computer-vision
multi-label-classification
siglip
moda-ner
benchmark
reproducibility
non-commercial
color-detection
fit-prediction
Eval Results (legacy)
Instructions to use HopitAI/moda-ner-v-catalog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use HopitAI/moda-ner-v-catalog with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:HopitAI/moda-ner-v-catalog') tokenizer = open_clip.get_tokenizer('hf-hub:HopitAI/moda-ner-v-catalog') - Notebooks
- Google Colab
- Kaggle
File size: 2,985 Bytes
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"_provenance": "Value lists copied from suite/catalog/evaluation_config.json in hopit-ai/Moda_ner. Index order is the source dataset's Attributes/*.txt line order: labels are integer indices into those files and scikit-learn sorts integer classes, so line number is class index. Every list length matches its head's output dimension.",
"fields": {
"category": {
"source_head": "category",
"values": [
"coat",
"jacket",
"suit",
"shirt",
"t-shirt",
"jumper",
"shorts",
"trouser",
"jean",
"swimming",
"jumpsuit",
"pyjamas",
"tracksuit bottoms",
"tracksuit",
"skirt",
"dress"
]
},
"collar": {
"source_head": "collar",
"values": [
"buttondown",
"cutaway",
"high",
"hood",
"kent",
"lapel",
"lined",
"mandarin",
"polo",
"round",
"shawl",
"turndown",
"v-neck",
"peter pan",
"volant",
"shirt",
"chin"
]
},
"color": {
"source_head": "color",
"values": [
"maroon",
"black",
"white",
"charcoal",
"indigo",
"navy",
"pink",
"light blue",
"blue",
"beige",
"orange",
"yellow",
"red",
"purple",
"brown",
"olive",
"green",
"gray",
"multi"
]
},
"fabric": {
"source_head": "fabric",
"values": [
"canvas",
"crocheted",
"denim",
"fleece",
"hardshell",
"jersey",
"jersey lace",
"lace",
"mesh",
"mesh jersey",
"rib",
"softshell",
"sweat",
"leather"
]
},
"fastening": {
"source_head": "fastening",
"values": [
"zip",
"back closure",
"belt",
"button",
"covered",
"hook",
"laces",
"no closure",
"front",
"others"
]
},
"fit": {
"source_head": "fit",
"values": [
"bootcut",
"flared",
"high waist",
"jeggings",
"large",
"loose",
"low",
"oversize",
"regular",
"skinny",
"slim",
"small",
"straight",
"tailered",
"tapered"
]
},
"neckline": {
"source_head": "neckline",
"values": [
"boat",
"backless",
"cache-coeur",
"henley",
"low v-neck",
"low round",
"off-the-shoulder",
"round",
"square",
"v-neck",
"envelope"
]
},
"pattern": {
"source_head": "pattern",
"values": [
"animal",
"burnout",
"camouflage",
"checked",
"colour gradient",
"colourful",
"floral",
"herringbone",
"marl",
"paisley",
"photo",
"pinstriped",
"plain",
"polka dot",
"print",
"striped"
]
},
"pocket": {
"source_head": "pocket",
"values": [
"side",
"cargo",
"flap",
"napoleon",
"belt",
"sleeve",
"zip"
]
},
"sleeve_length": {
"source_head": "sleeve_length",
"values": [
"3/4",
"spaghetti",
"sleeveless",
"elbow",
"extra long",
"extra short",
"long",
"short",
"strapless"
]
}
}
}
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