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README.md
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```bash
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├── icarus
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│ └── moon-2025-08-25
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---
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language: en
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license: lgpl-3.0
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tags:
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- pytorch
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- torchscript
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- image-segmentation
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- particle-physics
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- neutrino-detectors
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- liquid-argon
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datasets:
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- custom
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library_name: pytorch
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pipeline_tag: image-segmentation
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model-index:
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- name: DNN ROI Models
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results:
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- task:
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type: image-segmentation
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name: Region of Interest Detection
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metrics:
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- type: iou
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value: N/A
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name: Intersection over Union
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- type: dice
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value: N/A
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name: Dice Coefficient
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models:
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- icarus/moon-2025-08-25
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- pdhd/dikshant/mobileunet
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- pdhd/hokyeong/mobilenetv3
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- pdsp/unet
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- pdsp/nestedunet
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- sbnd/sbnd_data-v01_34_00
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---
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# DNN ROI Models
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A collection of deep neural network models for region of interest (ROI) detection in LArTPC experiments, including ICARUS, ProtoDUNE-HD, ProtoDUNE-SP, and SBND.
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```bash
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├── icarus
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│ └── moon-2025-08-25
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