凭CIFAR100的经验Single Model只用iNaturalist训练ResNeXt50的变种，最高到err 0.086(这是一个6卡M40模型...
iNat Challenge 2017数据集包含5,089个物种,并结合了由67个图像组成的训练和验证集,这些图像已由inaturalist.org的多个用户收集并验证。该数据集包含许多视觉上相似的物种,这些物种在世界范围内的各种情况下均已捕获。 数据列表 数据名称上传日期大小下载 test2017.zip2021-03-156.27MB train_val2017.zip2021-03-1525...
The iNaturalist 2017 dataset (iNat) contains 675,170 training and validation images from 5,089 natural fine-grained categories. Those categories belong to 13 super-categories including Plantae (Plant), Insecta (Insect), Aves (Bird), Mammalia (Mammal), an
kueda added a commit that referenced this issue Mar 2, 2017 Fix fullscreen gap on obs search (closes #1299) d379a07 kueda closed this as completed in 980996d Mar 6, 2017 kueda removed the in progress label Mar 6, 2017 chivoX pushed a commit to chivoX/inaturalist that referenced th...
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iNat Challenge 2017数据集包含5,089个物种,并结合了由67个图像组成的训练和验证集,这些图像已由inaturalist.org的多个用户收集并验证。该数据集包含许多视觉上相似的物种,这些物种在世界范围内的各种情况下均已捕获。 数据列表 数据名称上传日期大小下载 test2017.zip2021-03-156.27MB train_val2017.zip2021-03-1525...