Exploring the potential to use low cost imaging and an open source convolutional neural network detector to support stock assessment of the king scallop (Pecten maximus)

Earth and Planetary Sciences

• Stock Assessment 100%
• United Kingdom 50%
• Fishing Vessel 50%
• Survey Method 50%
• Marine Environment 50%
• Machine Learning 50%

Engineering

• Convolutional Neural Network 100%
• Analytic Image 33%
• Effective Approach 33%
• Fishing Vessel 33%
• Learning System 33%