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ResearchFormerly WizWand

Object Detection on Poplar-Leaf (test)

65.8mAPLeafInst
44.89650.32355.7561.177Mar 4, 2026
Updated 8mo ago

Evaluation results

MethodLinks
LeafInstBackbone=ResNet-50, Pre-trained=ImageNet [65], Resolution=1024 x 1024, Training epochs=36, Optimizer=SGD, Initial learning rate=0.005, Batch size=42026.0365.890.471
YOLOV8Backbone=ResNet-50, Pre-trained=ImageNet [65], Resolution=1024 x 1024, Training epochs=36, Optimizer=SGD, Initial learning rate=0.005, Batch size=42026.0365.790.5—
YOLOV11Backbone=ResNet-50, Pre-trained=ImageNet [65], Resolution=1024 x 1024, Training epochs=36, Optimizer=SGD, Initial learning rate=0.005, Batch size=42026.0364.990.4—
CascadeRcnnBackbone=ResNet-50, Pre-trained=ImageNet [65], Resolution=1024 x 1024, Training epochs=36, Optimizer=SGD, Initial learning rate=0.005, Batch size=42026.0362.48369.8
PointRendBackbone=ResNet-50, Pre-trained=ImageNet [65], Resolution=1024 x 1024, Training epochs=36, Optimizer=SGD, Initial learning rate=0.005, Batch size=42026.0361.784.668.2
MaskRcnnBackbone=ResNet-50, Pre-trained=ImageNet [65], Resolution=1024 x 1024, Training epochs=36, Optimizer=SGD, Initial learning rate=0.005, Batch size=42026.0361.289.865.2
BoxInstBackbone=ResNet-50, Pre-trained=ImageNet [65], Resolution=1024 x 1024, Training epochs=36, Optimizer=SGD, Initial learning rate=0.005, Batch size=42026.0361.288.166.4
MaskDinoBackbone=ResNet-50, Pre-trained=ImageNet [65], Resolution=1024 x 1024, Training epochs=36, Optimizer=SGD, Initial learning rate=0.005, Batch size=42026.0357.881.160.1
QueryinstBackbone=ResNet-50, Pre-trained=ImageNet [65], Resolution=1024 x 1024, Training epochs=36, Optimizer=SGD, Initial learning rate=0.005, Batch size=42026.0355.779.259.5
Mask2formerBackbone=ResNet-50, Pre-trained=ImageNet [65], Resolution=1024 x 1024, Training epochs=36, Optimizer=SGD, Initial learning rate=0.005, Batch size=42026.0355.175.658
YOLACTBackbone=ResNet-50, Pre-trained=ImageNet [65], Resolution=1024 x 1024, Training epochs=36, Optimizer=SGD, Initial learning rate=0.005, Batch size=42026.0345.779.247.7