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Updata REDME #154
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Updated README.md to reflect project details, capabilities, and usage instructions for AgStream.
README.md
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| | Model | 83-Class | Binary (Crop/Weed) | 9-Class | 24-Class | Model Size | | ||
| |-------|----------|-------------------|---------|----------|------------| | ||
| | MobileNet | 27.2% | 85.2% | 84.6% | 43.6% | 28.3 MB | | ||
| | ResNet18 | 26.2% | 82.1% | 81.5% | 41.0% | 135 MB | |
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We increased the accuracy of 83-clasess to 67%
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fixed
README.md
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| - Ask questions, share insights, and help your teammates — you’re not alone in this! | ||
| ### Target Platform | ||
| - **Device:** NVIDIA Jetson Orin Nano/NX | ||
| - **JetPack:** 5.1.2+ |
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Please specify the exact version, not XX+
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same for other
| ## 📊 Performance Metrics | ||
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| ## AgStream - Implement Basic PyTorch Inference Script | ||
| ### Classification Accuracy (CropAndWeed Dataset) |
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To keep things clear, please mention the "model flavour" used for evaluation (pytorch or onnx)
Co-authored-by: Ruti Cohen <r0583283575@gmail.com> Co-authored-by: Sarah Gershuni <sarah556726@gmail.com>
Co-authored-by: Ruti Cohen <r0583283575@gmail.com> Co-authored-by: Sarah Gershuni <sarah556726@gmail.com>
Updated README.md to reflect project details, capabilities, and usage instructions for AgStream.