segformer_b2_clothes / mattmdjaga_segformer_b2_clothes.json
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add AIBOM (#29)
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{
"bomFormat": "CycloneDX",
"specVersion": "1.6",
"serialNumber": "urn:uuid:efaab1cf-c09e-495a-9d76-54604e1e8c37",
"version": 1,
"metadata": {
"timestamp": "2025-06-05T09:34:49.062306+00:00",
"component": {
"type": "machine-learning-model",
"bom-ref": "mattmdjaga/segformer_b2_clothes-ea4ad23a-7fca-57ca-9b50-5cbca9a21441",
"name": "mattmdjaga/segformer_b2_clothes",
"externalReferences": [
{
"url": "https://huggingface.co/mattmdjaga/segformer_b2_clothes",
"type": "documentation"
}
],
"modelCard": {
"modelParameters": {
"task": "image-segmentation",
"architectureFamily": "segformer",
"modelArchitecture": "SegformerForSemanticSegmentation",
"datasets": [
{
"ref": "mattmdjaga/human_parsing_dataset-2f113f97-be86-5ece-a359-cb1d9aa1cb78"
}
]
},
"properties": [
{
"name": "library_name",
"value": "transformers"
}
]
},
"authors": [
{
"name": "mattmdjaga"
}
],
"licenses": [
{
"license": {
"id": "MIT",
"url": "https://spdx.org/licenses/MIT.html"
}
}
],
"tags": [
"transformers",
"pytorch",
"onnx",
"safetensors",
"segformer",
"vision",
"image-segmentation",
"dataset:mattmdjaga/human_parsing_dataset",
"arxiv:2105.15203",
"license:mit",
"endpoints_compatible",
"region:us"
]
}
},
"components": [
{
"type": "data",
"bom-ref": "mattmdjaga/human_parsing_dataset-2f113f97-be86-5ece-a359-cb1d9aa1cb78",
"name": "mattmdjaga/human_parsing_dataset",
"data": [
{
"type": "dataset",
"bom-ref": "mattmdjaga/human_parsing_dataset-2f113f97-be86-5ece-a359-cb1d9aa1cb78",
"name": "mattmdjaga/human_parsing_dataset",
"contents": {
"url": "https://huggingface.co/datasets/mattmdjaga/human_parsing_dataset",
"properties": [
{
"name": "task_categories",
"value": "image-segmentation"
},
{
"name": "task_ids",
"value": "semantic-segmentation"
},
{
"name": "size_categories",
"value": "10K<n<100K"
},
{
"name": "configs",
"value": "Name of the dataset subset: default {\"split\": \"train\", \"path\": \"data/train-*\"}"
}
]
},
"governance": {
"owners": [
{
"organization": {
"name": "mattmdjaga",
"url": "https://huggingface.co/mattmdjaga"
}
}
]
},
"description": "\n\t\n\t\t\n\t\tDataset Card for Human parsing data (ATR)\n\t\n\n\n\t\n\t\t\n\t\tDataset Summary\n\t\n\nThis dataset has 17,706 images and mask pairs. It is just a copy of \nDeep Human Parsing ATR dataset. The mask labels are: \n \"0\": \"Background\",\n \"1\": \"Hat\",\n \"2\": \"Hair\",\n \"3\": \"Sunglasses\",\n \"4\": \"Upper-clothes\",\n \"5\": \"Skirt\",\n \"6\": \"Pants\",\n \"7\": \"Dress\",\n \"8\": \"Belt\",\n \"9\": \"Left-shoe\",\n \"10\": \"Right-shoe\",\n \"11\": \"Face\",\n \"12\": \"Left-leg\",\n \"13\": \"Right-leg\",\n \"14\":\u2026 See the full description on the dataset page: https://huggingface.co/datasets/mattmdjaga/human_parsing_dataset."
}
]
}
]
}