Add MobileNetV2 0.5 Plant Village classifier#25
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- Add float and 8w8a8 QAT Keras checkpoints under vision/classification/mobilenetv2/plant_village/ (tracked via Git LFS). - Add model README with environment pins and a load+convert-to-Akida snippet taken from the reference notebook. - Add Plant Village row to the top-level model table.
ktsiknos-brainchip
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Apr 21, 2026
| | Vision | Classification | [MobileNetV2 1.0](vision/classification/mobilenetv2/imagenet) | 224 | ImageNet | 3.5M | 8 | 70.35% | | | 7 | | ||
| | Vision | Classification | [MobileNetV2 0.75](vision/classification/mobilenetv2/imagenet) | 160 | ImageNet | 2.6M | 8 | 62.85% | | | 4 ☁️ | | ||
| | Vision | Classification | [MobileNetV2 0.35](vision/classification/mobilenetv2/imagenet) | 96 | ImageNet | 1.2M | 8 | 43.47% | | | 2 ☁️ | | ||
| | Vision | Classification | [MobileNetV2 0.5](vision/classification/mobilenetv2/plant_village) | 224 | Plant Village | 0.7M | 8 | 99.12% | | | 6 | |
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Manually tested using the CI script: this model can map on 4 nodes, not 6.
Also, add the ☁️ icon if this maps on 6-nodes (it just means it could be run on the cloud that has 6-nodes)
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I confirmed it on my side too, using MapMode value 3.
cc. @kmanninen
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kmanninen
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Apr 21, 2026
kmanninen
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Apr 21, 2026
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Recommend implementing changes pertaining to using the latest version of Akida.
Co-authored-by: Kevin Tsiknos <60514526+ktsiknos-brainchip@users.noreply.github.com>
kmanninen
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Apr 21, 2026
kmanninen
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Apr 21, 2026
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@nikunj95 @kmanninen few comments:
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Summary
akida==2.17.0,cnn2snn==2.17.0,quantizeml==1.0.1), performance, and a load-and-convert-to-Akida snippet ported from the reference notebook.Model
akida.SixNodesIPv2,hw_only=True)Quantized-model sparsity — ReLU: 89%, overall: 53%.