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muqtadar
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analysis

Image Classification
Transformers
PyTorch
Safetensors
vit
huggingpics
Eval Results (legacy)
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xet
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How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-classification", model="muqtadar/analysis")
pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification

processor = AutoImageProcessor.from_pretrained("muqtadar/analysis")
model = AutoModelForImageClassification.from_pretrained("muqtadar/analysis")
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face-characteristics

Classify face images for acne, wrinkles, and skin pigmentation

Example Images

acne

acne

eyes dark circles

eyes dark circles

puffy eyes

puffy eyes

skin pigmentation

skin pigmentation

skin redness

skin redness

skin texture

skin texture

wrinkled face

wrinkled face

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Model size
85.8M params
Tensor type
F32
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Evaluation results