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Object Detection On Seadronessee

Métriques

mAP@0.5

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle
mAP@0.5
Paper TitleRepository
Faster R-CNN ResNeXt-101-FPN54.66SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water-
Synth Pretrained Faster R-CNN ResNeXt-101-FPN59.20Leveraging Synthetic Data in Object Detection on Unmanned Aerial Vehicles
CenterNet ResNet1821.84SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water-
CenterNet Hourglass10450.32SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water-
Synth Pretrained EffDetD038.74Leveraging Synthetic Data in Object Detection on Unmanned Aerial Vehicles
Yolo 5-Leveraging Synthetic Data in Object Detection on Unmanned Aerial Vehicles
Synth Pretrained Yolo559.08Leveraging Synthetic Data in Object Detection on Unmanned Aerial Vehicles
Faster RCNN ResNet50FPN30.09SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water-
EfficientDet D037.11SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water-
CenterNet ResNet10136.42SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water-
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