I reasoned that for the cases where the thing detectors are not able to discover the seafood (i 3 x ResNet-152 (different insight resolutions and data augmentation techniques) 1 x DenseNet-121 Each on the preceding design, generates 1 pair of forecast for each set of harvest created by after object discovery items: 1 x YOLO 3 x Faster R-CNN with ResNet-101 as base network (different instruction iterations) 4 x Faster R-CNN with VGG-16 as base network (different education iterations) 1 x quicker R-CNN with VGG-16 as base network (trained with multi-class labeling) As talked about above, considering that the ship credentials was correlated together with the seafood kind, it might be good for include vessel records on unit. age. harvest down rubbish), the watercraft suggestions could work as ...