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realtime-detection

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Realtime-Sign-Language-Detection-Using-LSTM-Model

Realtime Sign Language Detection: Deep learning model for accurate, real-time recognition of sign language gestures using Python and TensorFlow.

  • Updated May 29, 2024
  • Jupyter Notebook

Logo Detection of a custom small dataset. The dataset contains logos of 6 famous brands: Nike, Jordans, Adidas, Puma, Kappa, Quicksilver. The model was developed using the Object-Detection-API by Tensorflow

  • Updated May 29, 2021
  • Jupyter Notebook

Based on Faster R-CNN, we train model on our mask dataset and leverage data augmentation to preprocess our data. Mean average precision is introduced to evaluate the model performance. You'll see data augmentation and mAP evaluation in detailed explainations, and tutorials of faster-rcnn training

  • Updated May 21, 2021
  • Jupyter Notebook

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