Upload yolo26n prepared ONNX assets

README.md

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+---
+license: agpl-3.0
+library_name: onnx
+tags:
+- onnx
+- computer-vision
+- yolo
+- object-detection
+- image-segmentation
+- image-classification
+- pose-estimation
+- oriented-object-detection
+- neuromodflownet
+---
+
+# NeuroModFlowNet.ONNX Prepared Models
+
+Prepared ONNX model artifacts for NeuroModFlowNet.ONNX.
+
+These files are generated artifacts. They are not covered by the Apache-2.0 license of the NeuroModFlowNet.ONNX source code repository unless explicitly stated.
+
+See `models.manifest.json` for file paths, sizes and SHA256 hashes.
+
+## Model License
+
+The model weights are provided under AGPL-3.0, consistent with the Ultralytics YOLO licensing terms.
+
+The author provides these weights "as is", without warranty.
+Users are responsible for ensuring that their use complies with the licenses of:
+- Ultralytics YOLO;
+- the base/pretrained model, if any;
+- the training dataset;
+- any deployment/runtime libraries.

models.manifest.json

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+{
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+  "sourceRoot": "models",
+  "artifactKind": "prepared-onnx",
+  "licenseNote": "Prepared model artifacts are not licensed under the repository Apache-2.0 license. Each artifact keeps the license obligations of the source model it was derived from.",
+  "assets": [
+    {
+      "path": "yolo26n/yolo26n__640_b1_fp16_bytebgr.onnx",
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+}

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