This repository provides a comprehensive list of radar and optical satellite datasets curated for ship detection, classification, semantic segmentation, and instance segmentation tasks. These datasets are ideal for applications in computer vision, machine learning, remote sensing, and maritime analysis.

xView 2018 Object Detection Challenge: YOLOv3 Training and Inference.

icip2022 paper: sahi benchmark on visdrone and xview datasets using fcos, vfnet and tood detectors

下雨，飘雪，红包雨，碰撞球，粒子隧道，变幻 自定义View

xView 2018 Object Detection Challenge: Docker container submission code

A working version of 64bit XView.

Xview-v2 is a tool used to increase website views or traffic from a website without limits and can be repeated many times by using a localhost network for hosting.

The openlook toolkit for x11, abandoned around the early 90's in favor of motif. See inside the source directories for origns. Also includes Xview-using apps

YOLOv8 implementation for remote sensing and satellite image analysis. Features custom tiling and inference pipelines for xView & DOTA datasets.

Project on Object Detection using xView Dataset - Image Processing for Computer Vision (MSc), supervised by Prof. G. Scarpa and Eng. M. Ciotola (2024)

Run off the shelf containerized satellite imagery object detection demo.

{Work in progress} - Mosaic genereator for datasets. Works without any cuts or losses.

A stand-alone version of https://github.com/oracle/solaris-userland/tree/master/components/x11/data/workspace-patterns

Faster-RCNN with AI-TOD dataset

Classifying satellite imagery objects using deep learning (CNNs, transfer learning) on the xView dataset.

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