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StandardSim is a photorealistic synthetic dataset for retail environments

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StandardSim

StandardSim is a large-scale photorealistic synthetic dataset for retail environments with over 25k examples. Modalities include rgb, depth, before/after, instance segmentation labels, depth, and normals.

Project Page: https://standard-ai.github.io/Standard-Sim/

ICIAP 2022 Paper: https://arxiv.org/abs/2202.02418

Data: https://drive.google.com/drive/folders/1KRjuL1wxe2VqYKKIOAKa0-FXjTNgr4TX

Code for training models coming soon.

Change Detection Task

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Change Detection Labels and Model Predictions

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Data Modalities

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Dataset Comparison

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Shield: CC BY-NC-SA 4.0

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

CC BY-NC-SA 4.0

This license is inclusive of both this codebase and the StandardSim data release.

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