Image Classification
OpenCLIP
Safetensors
English
fashion
attribute-extraction
product-attributes
catalog-enrichment
e-commerce
computer-vision
multi-label-classification
siglip
moda-ner
benchmark
reproducibility
fashionpedia
mit
Eval Results (legacy)
Instructions to use HopitAI/moda-ner-v-crop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use HopitAI/moda-ner-v-crop with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:HopitAI/moda-ner-v-crop') tokenizer = open_clip.get_tokenizer('hf-hub:HopitAI/moda-ner-v-crop') - Notebooks
- Google Colab
- Kaggle
Download thresholds.json from HopitAI/moda-ner-v-crop: direct link, hf CLI and curl.
- Browser
- Download file 1.87 kB
-
https://huggingface.co/HopitAI/moda-ner-v-crop/resolve/main/thresholds.json
- Command line
-
hf download hf://HopitAI/moda-ner-v-crop/thresholds.json
-
curl -L -o thresholds.json https://huggingface.co/HopitAI/moda-ner-v-crop/resolve/main/thresholds.json
1.87 kB
| { | |
| "closure_type": { | |
| "applicability": 0.55, | |
| "calibration_f1": 0.747410358565737, | |
| "value": 0.0 | |
| }, | |
| "collar_presence": { | |
| "applicability": 0.7, | |
| "calibration_f1": 0.8441558441558441, | |
| "value": 0.0 | |
| }, | |
| "collar_style": { | |
| "applicability": 0.9, | |
| "calibration_f1": 0.6967396158999553, | |
| "value": 0.0 | |
| }, | |
| "hemline": { | |
| "applicability": 0.55, | |
| "calibration_f1": 0.6318458417849898, | |
| "value": 0.0 | |
| }, | |
| "material": { | |
| "applicability": 0.6, | |
| "calibration_f1": 0.4191763982790412, | |
| "value": 0.5, | |
| "value_by_index": [ | |
| 0.95, | |
| 0.95, | |
| 0.6, | |
| 0.8, | |
| 0.6, | |
| 0.95, | |
| 0.75, | |
| 0.65, | |
| 0.35, | |
| 0.7, | |
| 0.95, | |
| 0.65, | |
| 0.95 | |
| ] | |
| }, | |
| "neckline": { | |
| "applicability": 0.65, | |
| "calibration_f1": 0.49932083672914973, | |
| "value": 0.0 | |
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| "pattern": { | |
| "applicability": 0.75, | |
| "calibration_f1": 0.8566961250849763, | |
| "value": 0.0 | |
| }, | |
| "silhouette": { | |
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| "calibration_f1": 0.5233157155281996, | |
| "value": 0.0 | |
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| "sleeve_length": { | |
| "applicability": 0.7, | |
| "calibration_f1": 0.8251031734737442, | |
| "value": 0.0 | |
| }, | |
| "sleeve_shape": { | |
| "applicability": 0.65, | |
| "calibration_f1": 0.7349505840071878, | |
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| }, | |
| "sub_category": { | |
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| "calibration_f1": 0.6180009945300844, | |
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| }, | |
| "surface_treatment": { | |
| "applicability": 0.55, | |
| "calibration_f1": 0.5499886647018817, | |
| "value": 0.5, | |
| "value_by_index": [ | |
| 0.6, | |
| 0.6, | |
| 0.45, | |
| 0.6, | |
| 0.7, | |
| 0.3, | |
| 0.65, | |
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| 0.75, | |
| 0.45, | |
| 0.65, | |
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| 0.6, | |
| 0.75 | |
| ] | |
| }, | |
| "waist_type": { | |
| "applicability": 0.5, | |
| "calibration_f1": 0.5735294117647058, | |
| "value": 0.0 | |
| } | |
| } | |