LSUN 20 Object Categories 大型图片数据集

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LSUN 20 Object Categories Dataset 是一个大规模图像数据集,其基于人类在循环中进行深度学习的构建,其包含 20 个对象类别共计约 100 万张标记图像。

该数据集由加州大学伯克利分校等于 2015 年发布,主要发布人有 Fisher Yu、Peter Kontschieder、Shuran Song、Ming Jiang、Yinda Zhang、Catherine Qi Zhao、Thomas Funkhouser 和 Jianxiong Xiao,相关论文为《LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop》。

数据集的相关挑战赛集中于场景理解,包括场景对象检索、室外场景分割、RGB-D 3D 物体检测和显著性检测。

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文件名大小
README.md668 B
README.txt668 B
airplane.zip33.72 GB
airplane.zip.md547 B
bicycle.zip129.24 GB
bicycle.zip.md546 B
bird.zip65.1 GB
bird.zip.md543 B
boat.zip85.66 GB
boat.zip.md543 B
bottle.zip63.66 GB
bottle.zip.md545 B
bus.zip24.33 GB
bus.zip.md542 B
car.zip173.03 GB
car.zip.md542 B
cat.zip41.69 GB
cat.zip.md542 B
chair.zip115.79 GB
chair.zip.md544 B
cow.zip14.94 GB
cow.zip.md542 B
dining_table.zip48.27 GB
dining_table.zip.md551 B
dog.zip144.92 GB
dog.zip.md542 B
download.txt2.73 KB
horse.zip68.79 GB
horse.zip.md544 B
motorbike.zip41.86 GB
motorbike.zip.md548 B
person.zip476.61 GB
person.zip.md545 B
potted_plant.zip42.7 GB
potted_plant.zip.md551 B
sheep.zip17.75 GB
sheep.zip.md544 B
sofa.zip56.33 GB
sofa.zip.md543 B
train.zip42.72 GB
train.zip.md544 B
tv-monitor.zip45.7 GB
tv-monitor.zip.md549 B