API Compatibility
Image Classification
Simulates running MobileNetV2 on uploaded images. Uses a lightweight built-in classifier model.
Model Architecture
Input
224×224×3
224×224×3
→
Conv2D
32 filters
32 filters
→
DepthwiseConv
3×3
3×3
→
Bottleneck
×16
×16
→
GlobalAvgPool
1280
1280
→
Dense
1000 classes
1000 classes
MobileNetV2 — optimized for on-device inference with inverted residuals and linear bottlenecks.