Hand Gesture Image Data Labeling for Deep Learning Project
ImageClassification
This academic project involved recognizing hand gestures and converting them into text using deep learning methods. The process required collecting numerous hand gesture images and labeling them for model training. Annotation played a crucial role in ensuring accurate gesture-to-text conversion results.
• Labeled various hand gesture images to create a robust dataset for training a convolutional neural network.
• Applied classification labels corresponding to specific sign language meanings.
• Utilized Python-based internal tooling and machine learning libraries for annotation and data preprocessing.
• Ensured high accuracy and consistency throughout the annotation process.
This academic project involved recognizing hand gestures and converting them into text using deep learning methods. The process required collecting numerous hand gesture images and labeling them for model training. Annotation played a crucial role in ensuring accurate gesture-to-text conversion results. • Labeled various hand gesture images to create a robust dataset for training a convolutional neural network. • Applied classification labels corresponding to specific sign language meanings. • Utilized Python-based internal tooling and machine learning libraries for annotation and data preprocessing. • Ensured high accuracy and consistency throughout the annotation process.
2022 - 2022