ResNet 152
ResNet 152 is Microsoft's image to text model. A 152-layer deep residual network for image classification, providing high representational capacity through skip connections in a very deep architecture.
Microsoft's image to text model. A 152-layer deep residual network for image classification, providing high representational capacity through skip connections in a very deep architecture.microsoft-resnet152 |
| Image to Text |
| Active |
| Microsoft |
| Image |
| Text |
Capabilities
Input1/5
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β
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Output1/5
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Capabilities0/13
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Versions
| Version | Released | Context | Input / 1M | Output / 1M | Status |
|---|---|---|---|---|---|
| ResNet V2 101 | β | β | β | β | Available |
| ResNet V2 50 | β | β | β | β | Available |
| ResNet V2 Classification | β | β | β | β | Available |
| ResNet V2 Featurevector | β | β | β | β | Available |
| ResNet V1 101 | β | β | β | β | Available |
| ResNet V1 152 | β | β | β | β | Available |
| ResNet V1 50 | β | β | β | β | Available |
| ResNet V1 Classification | β | β | β | β | Available |
| ResNet 152 | β | β | β | β | Current |
| ResNet 101 | β | β | β | β | Available |
| ResNet 18 | β | β | β | β | Available |