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get_class_labels.sh.| Network Information | Value |
|---|---|
| Framework | TensorFlow Lite |
| SHA-1 Hash | 8de7996dfeadb5ab6f09e3114f3905fd03879eee |
| Size (Bytes) | 4020936 |
| Provenance | https://arxiv.org/pdf/1801.04381.pdf |
| Paper | https://arxiv.org/pdf/1801.04381.pdf |
| Platform | Optimized |
|---|---|
| Cortex-A | :heavy_check_mark: |
| Cortex-M | :heavy_check_mark: |
| Mali GPU | :heavy_check_mark: |
| Ethos U | :heavy_check_mark: |
| Metric | Value |
|---|---|
| Top 1 Accuracy | 0.697 |
| Optimization | Value |
|---|---|
| Quantization | INT8 |
| Input Node Name | Shape | Description |
|---|---|---|
| tfl.quantize | (1, 224, 224, 3) | Single 224x224 RGB image with INT8 values between -128 and 127 |
| Output Node Name | Shape | Description |
|---|---|---|
| MobilenetV2/Predictions/Reshape_11 | (1, 1001) | Per-class confidence for 1001 ImageNet classes |