add AIBOM
#7
by
RiccardoDav
- opened
- PramaLLC_BEN2.json +70 -0
PramaLLC_BEN2.json
ADDED
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{
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"bomFormat": "CycloneDX",
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"specVersion": "1.6",
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"serialNumber": "urn:uuid:de0e0092-ebc9-47bd-a87c-e9c6fa4bc604",
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"version": 1,
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"metadata": {
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"timestamp": "2025-10-23T16:22:55.869800+00:00",
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"component": {
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"type": "machine-learning-model",
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"bom-ref": "PramaLLC/BEN2-4905de38-3fae-5f7c-8678-e3aa26a22745",
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"licenses": [
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{
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"license": {
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"id": "MIT",
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"url": "https://spdx.org/licenses/MIT.html"
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}
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}
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],
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"externalReferences": [
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{
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"url": "https://huggingface.co/PramaLLC/BEN2",
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"type": "documentation"
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}
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],
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"modelCard": {
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"modelParameters": {
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"datasets": [],
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"task": "image-segmentation",
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"modelArchitecture": "PramaBEN_Base"
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},
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"properties": [
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{
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"name": "library_name",
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"value": "ben2"
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}
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]
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},
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"name": "PramaLLC/BEN2",
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"authors": [
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{
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"name": "PramaLLC"
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}
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],
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"description": "## Overview\nBEN2 (Background Erase Network) introduces a novel approach to foreground segmentation through its innovative Confidence Guided Matting (CGM) pipeline. The architecture employs a refiner network that targets and processes pixels where the base model exhibits lower confidence levels, resulting in more precise and reliable matting results. This model is built on BEN:\n[](https://paperswithcode.com/sota/dichotomous-image-segmentation-on-dis-vd?p=ben-using-confidence-guided-matting-for)\n\n\n\n",
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"tags": [
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"ben2",
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"onnx",
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"safetensors",
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"BEN2",
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"background-remove",
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"mask-generation",
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"Dichotomous image segmentation",
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"background remove",
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"foreground",
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"background",
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"remove background",
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"pytorch",
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"model_hub_mixin",
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"pytorch_model_hub_mixin",
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"background removal",
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"background-removal",
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"image-segmentation",
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"arxiv:2501.06230",
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"license:mit",
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"region:us"
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]
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}
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},
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"components": []
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}
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