This project was created as part of a job application challenge to showcase my skills. It utilizes a dataset that cannot be shared due to (potential) confidentiality reasons, and no PRs are allowed.
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Insert videos into the "test/" directory for testing data and the "train/" directory for training data.
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Run: train, validate and predict.
python model.py
The trained model currently achieves ~99.99% accuracy.
"Your mission is to develop a computer vision model that, upon processing a 5-second video, identifies the sign or word being conveyed through sign language. It's crucial for the model to acclimatize to varying environments, lighting conditions, and individuals."
"You will be furnished with a set of 5-second videos, each showcasing a specific sign or word in sign language. These videos will serve as the foundation to train and validate your model."
"Develop a neural network to process and detect butterflies in images from forest cameras, contributing to the biologists' research efforts."