Omkar2118/datasets huggingface dataset:
CrashD

CrashD is a test benchmark for the robustness and generalization of 3D object detection models. It contains a wide range of out-of-distribution vehicles, including damaged, classic, and sports cars.

Introducing paper: 3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection
loaded-dice v1.4

This repository contains the code and data to reproduce all results in "Climate uncertainty impacts on social cost of carbon and optimal mitigation pathways", Smith et al. (2023), Environmental Research Letters.

The journal article (gold open access) is at https://iopscience.iop.org/article/10.1088/1748-9326/acedc6.

To reproduce the workflow in this dataset, clone the GitHub repository and follow the instructions at https://github.com/chrisroadmap/loaded-dice.

v1.4 includes a number of additional figures and simulations to address reviewer comments after the first round of reviews. No previously submitted results have changed.

Introducing paper: Climate uncertainty impacts on optimal mitigation pathways and social cost of carbon