Artem Plastinkin
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---
license: apache-2.0
pipeline_tag: image-classification
tags:
- image-classification
- computer-vision
- renesas
- x5h
- onnx
- efficientnet
- efficientnetv2
- mmpretrain
- onnxoptimizer
---
# EfficientNetV2-B0 (ONNX) – Renesas X5H
## Introduction
This repository hosts **EfficientNetV2-B0** in ONNX FP32 format, targeting the **Renesas R-Car X5H** platform for image classification inference on the NPX6 NPU.
- **Model Architecture:** EfficientNetV2-B0 β€” a parameter-efficient convolutional neural network optimized for high accuracy and efficient inference.
- **Source Framework:** MMPreTrain (OpenMMLab)
- **Export Format:** ONNX FP32
- **Graph Optimization:** ONNX Optimizer
- **Task:** Image Classification (ImageNet ILSVRC2012, 1000 classes)
- **Parameters:** ~7.1 M
```
### Deployment Flow
```text
EfficientNetV2-B0 (MMPreTrain)
β”‚
β–Ό
ONNX Export
β”‚
β–Ό
ONNX Optimizer
β”‚
β–Ό
efficientnetv2-b0_3rdparty_in1k_sim_opt.onnx (FP32)
β”‚
β”œβ”€β–Ά ONNX Runtime (Custom NPU EP) ─▢ INT8 auto-cast ─▢ NPX6 NPU
β”‚
└─▢ MWMX Runtime ─▢ INT8 auto-cast ─▢ NPX6 NPU
```
### Provided Artifacts
```markdown
| Artifact | Status | Notes |
|:---------:|:------:|--------|
| **FP32 ONNX** | βœ… Provided | Exported from MMPreTrain and optimized using ONNX Optimizer |
```
### Runtime Details
```markdown
### ONNX Model
- **Training Framework:** MMPreTrain (OpenMMLab)
- **Export Format:** ONNX FP32
- **Graph Optimizations:** ONNX Optimizer passes applied
- **Input Resolution:** 224 Γ— 224
- **Output:** 1000 ImageNet classes
```
### Download
```bash
huggingface-cli download Renesas/EfficientNetV2-B0-ONNX fp32/efficientnetv2_b0.onnx
```