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Updated README.md to reflect project details, capabilities, and usage instructions for AgStream.

Updated README.md to reflect project details, capabilities, and usage instructions for AgStream.
README.md Outdated
| 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README.md Outdated
- 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

## 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)

Sarah5567 and others added 3 commits January 13, 2026 15:07
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>
@Sarah5567 Sarah5567 merged commit 683eb5c into main Jan 18, 2026
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5 participants