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Fix YOLOv3 table (#18902)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Glenn Jocher 2025-01-26 15:40:12 +01:00 • committed by GitHub
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4
docs/en/models/yolov3.md
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@ -29,10 +29,10 @@ YOLOv3 is designed specifically for object detection tasks. Ultralytics supports
All three models support a comprehensive set of modes, ensuring versatility in various stages of [model deployment](https://www.ultralytics.com/glossary/model-deployment) and development. These modes include [Inference](../modes/predict.md), [Validation](../modes/val.md), [Training](../modes/train.md), and [Export](../modes/export.md), providing users with a complete toolkit for effective object detection.
| Model Type | Pre-Trained Weights | Tasks Supported | Inference | Validation | Training | Export |
| -------------- | ------------------- | -------------------------------------- | -------------------------------------- | ---------- | -------- | ------ | --- |
| -------------- | ------------------- | -------------------------------------- | --------- | ---------- | -------- | ------ |
| YOLOv3(u) | `yolov3u.pt` | [Object Detection](../tasks/detect.md) | ✅ | ✅ | ✅ | ✅ |
| YOLOv3-Tiny(u) | `yolov3-tinyu.pt` | [Object Detection](../tasks/detect.md) | ✅ | ✅ | ✅ | ✅ |
| YOLOv3u-SPP(u) | `yolov3-sppu.pt` | | [Object Detection](../tasks/detect.md) | ✅ | ✅ | ✅ | ✅ |
| YOLOv3u-SPP(u) | `yolov3-sppu.pt` | [Object Detection](../tasks/detect.md) | ✅ | ✅ | ✅ | ✅ |
## This table provides an at-a-glance view of the capabilities of each YOLOv3 variant, highlighting their versatility and suitability for various tasks and operational modes in object detection workflows.