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{
"describedBy": "https://raw.githubusercontent.com/AllenNeuralDynamics/aind-data-schema/main/src/aind_data_schema/core/model.py",
"schema_version": "0.0.1",
"name": "model.safetensors",
"license": "CC-BY-4.0",
"developer_full_name": [
"Camilo Laiton"
],
"developer_institution": {
"name": "Allen Institute for Neural Dynamics",
"abbreviation": "AIND",
"registry": {
"name": "Research Organization Registry",
"abbreviation": "ROR"
},
"registry_identifier": "04szwah67"
},
"modality": [
{
"name": "Selective plane illumination microscopy",
"abbreviation": "SPIM"
}
],
"architecture": {
"backbone": "UNet",
"software": [
{
"name": "lightning",
"version": "2.5.0.post0",
"url": null,
"parameters": {}
}
],
"layers": null,
"parameters": {
"image_width": 1024,
"image_height": 1024
},
"notes": null
},
"intended_use": "2D tissue segmentation from SmartSPIM datasets",
"limitations": "Only trained on 639 channel",
"pretrained_source_url": null,
"training": [
{
"name": "Model training",
"software_version": null,
"start_date_time": "2025-03-01T12:00:00-08:00",
"end_date_time": "2025-03-01T14:00:00-08:00",
"input_location": [
"s3://aind-msma-morphology-data/test_data/SmartSPIM/brain_segmentation_2d_allaxis_channel_639"
],
"output_location": "Path to deployment",
"code_url": "https://github.com/AllenNeuralDynamics/aind-brain-segmentation",
"code_version": "77d5159",
"parameters": {
"learning_rate": 0.00001,
"batch_size": 32,
"augmentation": true
},
"outputs": {},
"notes": "Slices were pulled from a multiscaled image (14.4 microns in XY and 16.0 microns in Z) and then resized to 1024x1024",
"resources": null,
"train_performance": [
{
"name": "dice",
"value": 0.96
},
{
"name": "jaccard",
"value": 0.93
}
],
"test_performance": [
{
"name": "dice",
"value": 0.95
},
{
"name": "jaccard",
"value": 0.91
}
],
"test_data": "4:1 train/test split"
}
],
"evaluations": [],
"notes": "model version 77d5159"
} |