# wandahangFY/YOLO-MIF

<https://repo.masters-masters.com/en/repos/wandahangFY/YOLO-MIF>

[Home](https://repo.masters-masters.com/en) › [wandahangFY](https://repo.masters-masters.com/en/owners/wandahangFY) › [YOLO-MIF](https://repo.masters-masters.com/en/repos/wandahangFY/YOLO-MIF)

wandahangFY/YOLO-MIF has 265 stars on GitHub. Its RepoMasters card: Alpha tier. YOLO-MIF(YOLOv8-RGBT) is an improved version of YOLOv8 for object detection in…

| Field | Value |
| --- | --- |
| Owner | [wandahangFY](https://repo.masters-masters.com/en/owners/wandahangFY) |
| Stars | 265 |
| Forks | 24 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2024 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [wandahangFY/YOLO-MIF](https://github.com/wandahangFY/YOLO-MIF) |

## Repository

YOLO-MIF(YOLOv8-RGBT) is an improved version of YOLOv8 for object detection in gray-scale images, incorporating multi-information fusion to enhance detection accuracy. The detection of RGBT mode is also added. YOLO-MIF是在灰度图像中进行目标检测的改进型YOLOv8模型，引入了多信息融合策略，提高了检测准确性。 并添加了RGBT模式的检测,分割以及关节点任务。

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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