Sun Dried coconut meat, also known as Copra is used mainly on coconut oil extraction and its by-products for livestock use. The grade of copra is set by the Philippine National Standard for Copra and one of the criteria for the grading/classification is dryness of the copra meat as indicated by the meat color. This study investigates the use of Faster Region-Based Convolutional Neural Network with Inception v2 model in detecting and classifying the level of dryness of copra images as either Optimally Dry, Under-Dry or Over-Dried levels of copra meat. The researchers trained the model and tested it using a validation set which yielded an accuracy rate of 90% for Under Dry, 92% for Optimally Dry copra and 81% for Over Dry, with an overall accuracy rate of 87.67%.