ResNet V1 101 is Google's image to text model. A 101-layer ResNet V1 image feature extractor for image classification tasks, providing deep residual representations.
Specifications
Canonical IDgoogle-resnet-1-101
TypeImage to Text
StatusActive
CreatorGoogleGoogle
Input ModalitiesImage
Output ModalitiesText

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

VersionReleasedContextInput / 1MOutput / 1MStatus
ResNet V2 101————Available
ResNet V2 50————Available
ResNet V2 Classification————Available
ResNet V2 Featurevector————Available
ResNet V1 101————Current
ResNet V1 152————Available
ResNet V1 50————Available
ResNet V1 Classification————Available
ResNet 101————Available
ResNet 152————Available
ResNet 18————Available

Model IDs

google-resnet-1-101
tensorflow-icembedding-imagenet-resnet-v1-101-featurevector-4