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densenet169

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Trabajo Fin de Máster: Estudio comparativo de un clasificador de imágenes en Raspberry Pi, de forma que se compara el tiempo de la inferencia en la Raspberry Pi con y sin el Neural Compute Stick (NCS). También se estudia como la complejidad de una red neuronal repercute en el tiempo de inferencia y se analiza si los tiempos obtenidos con el NCS …

  • Updated Aug 11, 2020
  • Jupyter Notebook

Built a full-stack product identification system using TensorFlow (ResNet50, MobileNetV2, DenseNet169) for real-time, accurate predictions. Architected an optimized image processing pipeline with OpenCV, reducing latency by 40% and improving model inference efficiency.

  • Updated Dec 24, 2024
  • JavaScript

Successfully developed an image classification model using PyTorch to classify the species of grapevine leaves based on their corresponding images.

  • Updated Dec 6, 2024
  • Jupyter Notebook

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