Object detection for crabs in top-view seabed imagery
arXiv:2105.02964v1
Originality Synthesis-oriented
AI Analysis
This work addresses object detection for marine species like crabs, but it appears incremental as it uses existing methods on new data.
The authors applied an end-to-end object detection neural network to identify crabs in underwater seabed imagery, achieving unspecified results without concrete numbers.
This report presents the application of object detection on a database of underwater images of different species of crabs, as well as aerial images of sea lions and finally the Pascal VOC dataset. The model is an end-to-end object detection neural network based on a convolutional network base and a Long Short-Term Memory detector.