inference4j/yolov8n
By inference4j · ↓ 0 · ♥ 0 · Updated 2026-02-13
What's in this repo
This page lists the files in inference4j/yolov8n, including model.onnx.
- 1 ONNX models (.onnx files)
- 3 files, including 1 .md, 1 .onnx
- Last updated 2026-02-13
ONNX files
| File | Size | Download |
|---|---|---|
| model.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
YOLOv8n — ONNX
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.
Original Source
- Repository: Kalray (Ultralytics YOLOv8)
- License: agpl-3.0
Usage with inference4j
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. Original model by Ultralytics, hosted by Kalray.
Model info
Created: 2026-02-13
Updated: 2026-02-13
View on Hugging Face