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Face Mask Detection

An AI model that classifies whether a person is: ✅ Wearing a mask correctly ❌ Not wearing a mask ⚠️ Wearing a mask improperly

TipoModeloVersãoFace mask modelCnota

Fonte do modelo

Tipo
Modelo
Tamanho do arquivo
27,4 MB
Versão
vFace mask model
Atualizado
29 de out. de 2026
Fonte
Hugging Face

Descrição da fonte

Face Mask Detection — MobileNetV2

An AI model that classifies whether a person is:

  • ✅ Wearing a mask correctly
  • ❌ Not wearing a mask
  • ⚠️ Wearing a mask improperly

Model Details

  • Architecture: MobileNetV2 + custom classification head
  • Input: 224×224 RGB image (face crop)
  • Classes: with_mask, without_mask, mask_worn_incorrectly
  • Framework: TensorFlow/Keras

Usage

import tensorflow as tf
import numpy as np
from PIL import Image

model = tf.keras.models.load_model("face_mask_model.h5")
img   = Image.open("face.jpg").resize((224, 224))
arr   = np.expand_dims(np.array(img), 0) / 255.0
pred  = model.predict(arr)
print(["with_mask","without_mask","mask_worn_incorrectly"][pred.argmax()])

Live Demo

Try the interactive demo on Spaces.

Fontes

1 fonte
Hugging FacePrimárioVersão 3c7853bfeee44f356c48840e379c3b9c284d813d
huggingface.co/mpuneeth17/face-mask-detection/tree/3c7853bfeee44f356c48840e379c3b9c284d813d

Verificado 29 de out.

Artefatos de modelo

1 artefato

face_mask_model.h5

h5 · 27,4 MB · SHA-256 5d4c294ee39d…9ca1 · Hugging Face

Download file

Trechos de fonte

2 trechos

--- language: en tags: - image-classification - face-mask-detection - mobilenetv2 - tensorflow - computer-vision - safety license: mit --- # Face Mask Detection — MobileNetV2 An AI model that classifies whether a person is: - ✅ **Wearing a mask correctly** - ❌ **Not wearing a mask** - ⚠️ **Wearing a mask improperly** ## Model Details - **Architecture**: MobileNetV2 + custom classification head - **Input**: 224×224 RGB image (face crop) - **Classes**: `with_mask`, `without_mask`, `mask_worn_incorrectly` - **Framework**: TensorFlow/Keras ## Usage ```python import tensorflow as tf import numpy as np from PIL import Image model = tf.keras.models.load_model("face_mask_model.h5") img = Image.open("face.jpg").resize((224, 224)) arr = np.expand_dims(np.array(img), 0) / 255.0 pred = model.predict(arr) print(["with_mask","without_mask","mask_worn_incorrectly"][pred.argmax()]) ``` ## Live Demo Try the interactive demo on [Spaces](None/face-mask-detection-demo).

Source context: 0 downloads · 0 likes · Pipeline image-classification · Repo mpuneeth17/face-mask-detection