Upload yolov8n ONNX model

README.md

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+---
+library_name: onnx
+tags:
+  - yolov8
+  - object-detection
+  - coco
+  - computer-vision
+  - ultralytics
+  - onnx
+  - inference4j
+license: agpl-3.0
+pipeline_tag: object-detection
+---
+
+# YOLOv8n — ONNX
+
+ONNX export of [YOLOv8n](https://huggingface.co/Kalray/yolov8), the nano variant of Ultralytics YOLOv8 object detection model. Trained on COCO with 80-class output. Optimized for real-time inference.
+
+Mirrored for use with [inference4j](https://github.com/inference4j/inference4j), an inference-only AI library for Java.
+
+## Original Source
+
+- **Repository:** [Kalray (Ultralytics YOLOv8)](https://huggingface.co/Kalray/yolov8)
+- **License:** agpl-3.0
+
+## Usage with inference4j
+
+```java
+try (YoloV8 model = YoloV8.fromPretrained("models/yolov8n")) {
+    List<Detection> detections = model.detect(Path.of("street.jpg"));
+    detections.forEach(d -> System.out.printf("%s (%.0f%%) at [%.0f, %.0f, %.0f, %.0f]%n",
+        d.label(), d.confidence() * 100,
+        d.box().x1(), d.box().y1(), d.box().x2(), d.box().y2()));
+}
+```
+
+## Model Details
+
+| Property | Value |
+|----------|-------|
+| Architecture | YOLOv8 Nano (single-shot detector) |
+| Task | Object detection (COCO 80 classes) |
+| Input | `[1, 3, 640, 640]` — RGB, normalized 0-1 |
+| Output | `[1, 84, 8400]` — bounding boxes + class scores |
+| Post-processing | Non-Maximum Suppression (NMS) required |
+| Original framework | PyTorch (Ultralytics) |
+
+## License
+
+This model is licensed under the [AGPL-3.0 License](https://www.gnu.org/licenses/agpl-3.0.en.html). Original model by [Ultralytics](https://ultralytics.com/), hosted by [Kalray](https://huggingface.co/Kalray).

model.onnx

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