tutorial-face-mask-detection
Playing-Cards-Classification-TensorFlow-CNN
| tutorial-face-mask-detection | Playing-Cards-Classification-TensorFlow-CNN | |
|---|---|---|
| 1 | 1 | |
| 86 | 0 | |
| - | - | |
| 10.0 | 10.0 | |
| over 1 year ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | - |
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tutorial-face-mask-detection
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Face Mask Detection - tutorial
Our validation and testing data consists of images of people with and without masks that we collected from various sources that provide images with permissive licences (e.g. pexels.com, unsplash.com). We have manually annotated all faces in the collected images, and labeled them as being masked or not (using the makesense.ai annotation tool). We collected 273 images which contain 524 faces (246 masked and 278 non-masked). The images are split 50/50 over the validation set and test set. An overview of the collected data and corresponding URLs and ground truth annotations can be found in test_validation_metadata.csv.
Playing-Cards-Classification-TensorFlow-CNN
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42069 😳
yeah, i was uploading my TensorFlow Lite model lol https://github.com/0xN1nja/Playing-Cards-Classification-TensorFlow-CNN
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