ResNet-50 is Microsoft's classification model. 50-layer deep residual convolutional neural network for image classification, trained on over 1 million ImageNet images across 1,000 categories.
| Specifications | |
|---|---|
microsoft-resnet-50 | |
| Classification | |
| Active | |
| 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·
Pricing by Provider
US Dollar ($)
Per 1M tokens
| Provider | Standard | |
|---|---|---|
| Image In $ / 1M images | Request $ / request | |
| $2.51 | $0.000003 | |
Cost Calculator
US Dollar ($)
Preset:
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-50 | — | — | — | — | Current |
| ResNet 101 | — | — | — | — | Available |
| ResNet 152 | — | — | — | — | Available |