CNN Validation Imagery and Labels

• Main Authors: Gray, Patrick C., Bierlich, Kevin C., Mantell, Sydney A., Friedlaender, Ari S., Goldbogen, Jeremy A., Johnston, David W.
• Format: Dataset
• Language: unknown
• Published: Dryad Digital Repository 2019
• Subjects: photogrammetry; cetaceans; convolutional neural network; unoccupied aerial systems; drones; species identification; deep learning; population assessments; United States; Western Antarctic Peninsula Antarctica; California USA; Durham; Megaptera novaeangliae; Balaenoptera bonaerensis; Balaenoptera musculus; Antarctic; Antarctic Peninsula; Antarc*; Antarctica
• Online Access: https://dx.doi.org/10.5061/dryad.7482v2n/4; https://datadryad.org/resource/doi:10.5061/dryad.7482v2n/4

This zip file includes the validation images used for training this CNN. The label file for all validation data is included. That file "via_region_data.json" has the mask shapes in and species IDs in a JSON format as needed for the neural network.