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AlpineBends – A Benchmark for Deep Learning-Based Generalisation

NIAID Data Ecosystem2026-03-12 收录

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深度学习泛化基准

数据链接：

https://zenodo.org/record/5257685 数据链接链接失效反馈

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资源简介：

Benchmarks for the 24th ICA Workshop on Map Generalisation and Multiple Representation

应用场景：

创建时间：

2021-09-23

地质学

地图制图

In 1976 a coloured 1:5 000 000 Gravity Map of Australia was published by BMR. At that stage the systematic reconnaissance gravity coverage of Australia, initiated by BMR in...

澳大利亚2025-10-16 更新30

Massacre Inlet 1:100 000 topographic map

地图制图

地理信息

At this scale 1cm on the map represents 1km on the ground. Each map covers a minimum area of 0.5 degrees longitude by 0.5 degrees latitude or about 54 kilometres by 54...

澳大利亚2025-10-17 更新10

State map 1:5000 new form vector data - Kroměříž 5-2

地理信息系统

地图制图

The product represents a new design of the State Map at a scale of 1:5,000 (SM 5) in vector form, whose advantages are recency and colour processing. The map contains planimetry based on cadastral map

data.europa00

Coefficients of the CWF of linear feature symbolization with complex symbol.

线状要素符号化

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Coefficients of the CWF of linear feature symbolization with complex symbol.

NIAID Data Ecosystem20

Base map CR 1:50,000 - colour seamless - 07601080

地理信息系统

地图制图

Since 2002, the ZM 50 is produced using digital technology from the Fundamental Base of Geographic Data of the Czech Republic (ZABAGED®) and the database of geographic names of the Czech Republic Geon

data.europa00

AlpineBends – A Benchmark for Deep Learning-Based Generalisation

资源简介：

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