New SkySeaLand benchmark targets satellite object detection challenges

Researchers have introduced SkySeaLand, a new benchmark dataset designed for satellite object detection, particularly focusing on wide-format scenes and small targets. The dataset comprises 1,307 high-resolution satellite images with over 19,000 annotations for transportation-related objects like airplanes, boats, and ships. Alongside the dataset, they developed SkyDet, an ultra-lightweight detection baseline model with a small footprint and efficient inference speed. AI

IMPACT Provides a new benchmark for satellite object detection, potentially improving performance on wide-format scenes and small targets.

RANK_REASON The cluster describes a new academic paper introducing a benchmark dataset and a baseline model. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

• COCO
• DEtection TRansformer
• Faster R-CNN
• Md. Zahid Hasan Riad
• Nvidia T4
• RT-DETR
• SkySeaLand
• YOLO

• paper
• other

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