Abstract: Highlights•Constructed a dataset of 15 bird species using Camera Traps.•Employed deep learning to identify birds in complex backgrounds.•Cascade RCNN models outperformed other object detection models.•Backbones choice significantly impacted bird recognition accuracy.•Deep learning shows potential for wildlife recognition in complex scenarios.
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