@cf/microsoft/resnet-50
50 layers deep image classification CNN trained on more than 1M images from ImageNet
@
@Cf@cf/microsoft/resnet-50
@cf/microsoft/resnet-5050 layers deep image classification CNN trained on more than 1M images from ImageNet
inspect — the catalog entry
{
"id": "@cf/microsoft/resnet-50",
"source": 1,
"name": "@cf/microsoft/resnet-50",
"description": "50 layers deep image classification CNN trained on more than 1M images from ImageNet",
"task": {
"id": "00cd182b-bf30-4fc4-8481-84a3ab349657",
"name": "Image Classification",
"description": "Image classification models take an image input and assigns it labels or classes."
},
"created_at": "2023-09-25 19:21:11.898",
"tags": [],
"properties": [
{
"property_id": "price",
"value": [
{
"unit": "per inference request",
"price": 0.00000251,
"currency": "USD"
}
]
},
{
"property_id": "info",
"value": "https://www.microsoft.com/en-us/research/blog/microsoft-vision-model-resnet-50-combines-web-scale-data-and-multi-task-learning-to-achieve-state-of-the-art/"
}
],
"context_length": null
}References (1)
- Stored model catalog — Nov 5, 2026