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UnidetObject detection on multiple datasets with an automatically learned unified label space.
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CoCoCC development system for (Nitr)OS9/6x09, with source
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JSON2YOLOConvert JSON annotations into YOLO format.
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SegmentronSupport PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)
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CocoThe fastest crypto online
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xtcocoapiExtended COCO-API
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ImglabTo speedup and simplify image labeling/ annotation process with multiple supported formats.
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Sca Cnn.cvpr17Image Captions Generation with Spatial and Channel-wise Attention
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datumaroDataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
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Toolboxvarious cv tools, such as label tools, data augmentation, label conversion, etc.
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pylabelPython library for computer vision labeling tasks. The core functionality is to translate bounding box annotations between different formats-for example, from coco to yolo.
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FCOS GluonCVFCOS: Fully Convolutional One-Stage Object Detection.
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