assets image_datasets canny_dataset.py dataset.py models_licence src train_configs .gitignore LICENSE README.md cog.yaml gradio_demo.py main.py predict.py requirements.txt train_flux_deepspeed.py train_flux_deepspeed_controlnet.py train_flux_lora_deepspeed.py Breadcrumbs x-flux /image_datasets / File metadata ...
该数据集由华盛顿大学 BioRobotics Lab(brl.ee.washington.edu)开发。该数据集包含内窥镜鼻窦手术图像,并带有用于手术器械分割任务的人工注释。该数据集是从外科医生进行的内窥镜鼻窦手术中收集的,其特点是含有灵巧的针尖运动、狭窄的操作空间以及镜头与物体之间的距离很近。 UW-Sinus-Surgery-C/L 包括两个子数据集:尸...
Remote Sensing Image Datasets(遥感影像数据集) 闲渔爱音乐 地势坤,信载物,我辈人,当为之。 27 人赞同了该文章 AID dataset, has 30 different aerial scene types and 10000 samples of 600x600 size in each classes. UC-Merced dataset, contains 21 scene classes and 100 samples of size 256x256 in ...
Hyperspectral_Image_Datasets_Collection 选择语言 中文 English 中文 介绍 本仓库包含本人在研究生期间常用的高光谱图像数据集,数据集也可以在百度网盘上获取。 下载链接 百度网盘: 全部数据连接 数据集 1. 印度松树(IP)数据集 数据采集时间: 1992年 原始链接: Indian Pines Dataset 描述: 印度松树数据集是一个常...
鈥擳his work aims to enhance the matching and retrieval performance over image datasets which have similar spatial structures that occur very frequently. Instead of treating images as bags of features, we try to encode the spatial relationships in the representation. This process would help to ...
AnalysisoftheISICimagedatasets: Usage, benchmarksandRecommendations 对ISIC图像数据集的分析:使用情况、基准测试,对ISIC图像数据集的分析:使用情况、基准测试和建议国际皮肤成像协作(ISIC)数据集已经成为医学图像分析的机器学习研究人员的领先存储库,特别是在皮
A list of computer vision datasets, including image classification, object detection, and semantic segmentation.
Image-text pair datasets are commonly used for training generative text to image models or CLIP models. NeMo Curator supports reading and writing datasets based on thefile format. This format allows NeMo Curator to annotate the dataset with metadata including embeddings and classifier scores. Its sha...
image datasets & model for text/book super-resolution - GitHub - tv0001/SourceBook-Dataset: image datasets & model for text/book super-resolution
CleanVision automatically detects potential issues in image datasets like images that are: blurry, under/over-exposed, (near) duplicates, etc. This data-centric AI package is a quick first step for any computer vision project to find problems in the dataset, which you want to address before ap...