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-resnet152 |
| Image to Text |
| Active |
| Microsoft |
| Image |
| Text |
Capabilities
Input1/5
Text·
Image✓
Audio·
Video·
PDF·
Output1/5
Text✓
Image·
Audio·
Video·
Embedding·
Capabilities0/13
Reasoning·
Adaptive Reasoning·
Function Calling·
Parallel Function Calling·
Structured Outputs·
Native JSON Schema·
Web Search·
URL Context·
Computer Use·
Code Execution·
File Search·
Prompt Caching·
Assistant Prefill·
Versions
| Version | Released | Context | Input / 1M | Output / 1M | Status |
|---|---|---|---|---|---|
| ResNet V2 101 | — | — | — | — | Available |
| ResNet V2 50 | — | — | — | — | Available |
| ResNet V2 Classification | — | — | — | — | Available |
| ResNet V2 Featurevector | — | — | — | — | Available |
| ResNet V1 101 | — | — | — | — | Available |
| ResNet V1 152 | — | — | — | — | Available |
| ResNet V1 50 | — | — | — | — | Available |
| ResNet V1 Classification | — | — | — | — | Available |
| ResNet 152 | — | — | — | — | Current |
| ResNet 101 | — | — | — | — | Available |
| ResNet 18 | — | — | — | — | Available |