Face Mask Detection

--- 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).

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