American Sign Language Alphabet Detection in Real Time using OpenCV-Mediapipe with EfficientNetB0 in PyTorch
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Updated
Sep 24, 2024 - Python
American Sign Language Alphabet Detection in Real Time using OpenCV-Mediapipe with EfficientNetB0 in PyTorch
Development of a depth estimation model based on a UNET architecture - connection of Bi-directional Feature Pyramid Network (BIFPN) and EfficientNet.
Efficient way to detect if a face has a mask on. Used EfficientNet-B0 model architecture.
🔪 Elimination based Lightweight Neural Net with Pretrained Weights
QAT(quantize aware training) for classification with MQBench
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