MobileNet V1 0.25 160
MobileNet V1 0.25 160 is Google's image to text model. A minimal MobileNet V1 classifier with 0.25 width multiplier and 160px input for efficient on-device image classification.
google-mobilenet-1-25-160-classification |
| Image to Text |
| Active |
| Google |
| 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 |
|---|---|---|---|---|---|
| MobileNet 3 | — | — | — | — | Available |
| MobileNet V3 Large | — | — | — | — | Available |
| MobileNet 2 | — | — | — | — | Available |
| MobileNet 2 Classification | — | — | — | — | Available |
| MobileNet 2 Featurevector | — | — | — | — | Available |
| MobileNet V2 0.35 224 Feature Vector | — | — | — | — | Available |
| MobileNet V2 0.75 224 | — | — | — | — | Available |
| MobileNet V2 1.30 224 Feature Vector | — | — | — | — | Available |
| MobileNet V2 1.40 224 Feature Vector | — | — | — | — | Available |
| MobileNet V1 0.25 160 | — | — | — | — | Current |
| MobileNet V1 0.25 128 | — | — | — | — | Available |