目标检测-FOD-A机场异物数据集
异物碎片(FOD)检测在机器学习和计算机视觉领域引起了越来越多的关注。介绍了一个名为FOD in Airports (FOD-A)的FOD图像数据集。FOD-A还提供了标记的环境条件。因此，每个注释实例进一步分为三个光照级别类别(明亮、昏暗和黑暗)和两个天气类别(干燥和潮湿)。
标注格式为：YOLO、VOC
包含31个类别，分别是：
Battery
Bolt
BoltWasher
ClampPart
MetalPart
Cutter
PlasticPart
LuggageTag
Nail
Pliers
Label
Washer
Wrench
FuelCap
Nut
MetalSheet
Hose
AdjustableClamp
AdjustableWrench
BoltNutSet
Hammer
LuggagePart
PaintChip
Pen
Rock
Screw
Screwdriver
Wire
SodaCan
Tape
Wood
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