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inference4j/yolov8n
yolov8n is a object detection model from inference4j. Use it when you need objects located in an image. It is set up for onnx. The card lists the license as agpl-3.0.
ONNX export of YOLOv8n, the nano variant of Ultralytics YOLOv8 object detection model. Trained on COCO with 80-class output. Optimized for real-time inference.
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Updated Feb 13, 2026
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From the Hugging Face model README
ONNX export of YOLOv8n, 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, an inference-only AI library for 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()));
}
| 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) |
This model is licensed under the AGPL-3.0 License. Original model by Ultralytics, hosted by Kalray.