The SOC dataset including 6K salient images (3K) and non salient images (3K).
SOC数据集包括6K突出图像(3K)和非突出图像(3K)。
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We devided our dataset into TrainSet (training), ValSet (validation), and TestSet (test)
in the ratio of 6:2:2.
我们将数据集分为TrainSet(训练)、ValSet(验证)和TestSet(测试)
比例是6:2:2。
Both TrainSet and ValSet consist of 'Imgs' folder, 'gt' folder and 'Instance gt' folder.
While TestSet only include the image for test only. You can evaluate you code
in our website: http://dpfan.net/ (you can also send email to me: [email protected])
TrainSet和ValSet都是由‘Imgs’文件夹、‘gt’文件夹和‘Instance gt’文件夹组成。
而TestSet只包含用于测试的图像。您可以评估您的代码
在我们的网站:http://dpfan.net/(你也可以发邮件给我:[email protected])
'Imgs' folder: contains original color images.
'gt' folder: contains object-level salient object ground truth.
'Instance gt' folder: including 3 subfolder ('Attribute' folder, 'gt' folder, 'Instance name' folder).
'Attribute folder': describe each challenging attribute in each images.
'gt' folder: contains the instance-level salient object ground truth.
'Instance name' folder: maintains the instance name of each labeled instance.
'Imgs'文件夹:包含原始彩色图像。
“gt”文件夹:包含对象级别的突出对象地面真相。
“实例gt”文件夹:包括3个子文件夹(“属性”文件夹、“gt”文件夹、“实例名”文件夹)。
“属性文件夹”:在每张图片中描述每个具有挑战性的属性。
“gt”文件夹:包含实例级突出对象地面真相。
“实例名”文件夹:维护每个标记实例的实例名。