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Found 2 papers, 1 papers with code
Efficient sign language recognition system and dataset creation method based on deep learning and image processing
We achieved an accuracy of 96. 38% on the test set and 81. 36% on the validation set containing more challenging conditions, showing that 30 FPS is the best frame rate subsample to train the classifier, geometric transformations work better than intensity transformations, and artificial background creation is not effective to model generalization.
Artificial intelligence for detection and quantification of rust and leaf miner in coffee crop
Pest and disease control plays a key role in agriculture since the damage caused by these agents are responsible for a huge economic loss every year.
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