The Image Shadow Triplets dataset (ISTD) is a dataset for shadow understanding that contains 1870 image triplets of shadow image, shadow mask, and shadow-free image.
Thus, we built the first large-scale dichotomous image segmentation (DIS) dataset for multi-type pavement distress segmentation, called ISTD-PDS7, aimed to segment highly accurate pavement distress types from natural charge-coupled device (CCD) images. The new dataset covers seven types of pavement...
!rar x data/data132902/ISTD_Dataset.rar data !rar x data/data132902/train_params.rar data/ISTD_Dataset/train !rar x data/data132902/test_C_fixed_official.rar data/ISTD_Dataset/test !rar x data/data132902/train_C_fixed_ours.rar data/ISTD_Dataset/train 展开 文件列表 ISTD_Dataset.rar trai...
class InfraredDataset(Dataset): def __init__(self, dataset_dir, image_index, crop_size=480 , base_size=512, mode='train'): super(InfraredDataset, self).__init__() self.dataset_dir = dataset_dir self.image_index = image_index self.crop_size = crop_size self.base_size = base_size...
A newly retrained MiM checkpoint that maintains relatively high accuracy (around 80% IoU) on the SIRST dataset is available at Baidu Disk: {Baidu}, extraction code: DY4h. Citation Please cite our paper if you find the repository helpful. @article{chen2024mim, title={Mim-istd: Mamba-in-mam...
[英]Test whether a dataset is backed by TDB. [中]测试数据集是否由TDB支持。 代码示例 代码示例来源:origin: apache/jena /** Test whether a dataset is backed by TDB. */ publicstaticbooleanisTDB1(Datasetdataset){ DatasetGraphdsg=dataset.asDatasetGraph(); ...
Experimental results demonstrate significant achievements of YOLO-ISTD on the NUST-SIRST dataset, with an improvement of 8.568% in mAP@0.5 and 8.618% in mAP@0.95. Compared to the comparative models, the proposed approach effectively addresses issues of missed detections and false alarms in the ...
class InfraredDataset(Dataset): def __init__(self, dataset_dir, image_index, image_size=256): super(InfraredDataset, self).__init__() self.dataset_dir = dataset_dir self.image_index = image_index self.transformer = T.Compose([ T.Resize((int(image_size), int(image_size))), T.Gray...
class InfraredDataset(Dataset): def __init__(self, dataset_dir, image_index, image_size=256): super(InfraredDataset, self).__init__() self.dataset_dir = dataset_dir self.image_index = image_index self.transformer = T.Compose([ T.Resize((int(image_size), int(image_size))), T.Gray...
Shadow removal dataset