MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results

Benchmark Model Rank Results
small-object-detection-on-sod4sb-private-testDL method (YOLOv8 + Ensamble)#2AP50: 22.9
small-object-detection-on-sod4sb-private-testE2 method (Normalized Gaussian Wasserstein Distance + Switch Hard Augmentation + Multi scale train + Weight Moving Average + CenterNet + VarifocalNet)#3AP50: 22.1
small-object-detection-on-sod4sb-public-testDL method (YOLOv8 + Ensamble)#1AP50: 73.1
small-object-detection-on-sod4sb-public-testE2 method (Normalized Gaussian Wasserstein Distance + Switch Hard Augmentation + Multi scale train + Weight Moving Average + CenterNet + VarifocalNet)#3AP50: 69.6