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WireSeg-32K: A Physics-Grounded Synthetic Dataset for Wire Instance Segmentation
Not provided
synthetic datainstance segmentationfine-tuning
2609.03102
Builder Relevance
1h ago80%
Abstract
WireSeg-32K is a synthetic dataset designed to improve wire instance segmentation by providing 32,000 RGB images, instance masks, depth maps, and a real-world test set with annotations.
Reality Card
Core Claim
The introduction of WireSeg-32k significantly improves wire instance segmentation performance, achieving a 10.2% increase in real-world mAP@75 through the fine-tuning of SAM3.
Method / Result
Fine-tuning SAM3 on WireSeg-32k improved real-world mAP@75 by 10.2%.
Limitations
The dataset relies on a synthetic generation process, which may not fully capture the complexities of real-world wire scenarios.
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