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Ai

Dihao

Models in Library1
Datasets in Library0
Models on Hugging Face1
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This profile connects the 1 model and dataset record shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Image segmentation.

Reported licenses: mit. Open a record to review its specific license and conditions.

Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.

Models

Model · Image segmentation

crackevo-unet-r34

Ai

Single-frame crack segmentation for laboratory fracture images: concrete and cement-mortar cubes under uniaxial compression, coal / sandstone Brazilian discs under SHPB impact. Trained on the CrackEvo benchmark (China University of Mining and Technology-Beijing laboratory experiments) plus public crack datasets (CFD, CrackTree, DeepCrack, 40k) used for training only. Large images are processed with 512-px sliding windows (stride 384, logits averaged). About 45 ms per tile on a desktop CPU with ONNX Runtime. Exact-pixel IoU is limited by centre-line ground truth on two of the sources; tolerant F1 reflects localisation quality. Cross-material generalisation (unseen sandstone) drops to IoU…

Open weights mit onnx