industry pannel button detection
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fly6516 21d190a658 train: 更新类别权重设置
- 从配置中移除了特定于绝缘子的类别权重设置
- 替换为更通用的类别权重配置,增加了一个类别权重- 保持了权重设置的注释形式,以便未来可能的启用
2025-05-29 20:23:21 +08:00
datasets feat(datasets): 添加新的训练数据标签 2025-05-29 19:59:57 +08:00
data.yaml refactor(data): 更新数据集路径并调整数据验证逻辑 2025-05-29 20:16:02 +08:00
README.dataset.txt feat(datasets): 添加新的训练数据标签 2025-05-29 19:59:57 +08:00
README.roboflow.txt feat(datasets): 添加新的训练数据标签 2025-05-29 19:59:57 +08:00
test.py feat(datasets): 添加新的训练数据标签 2025-05-29 20:00:55 +08:00
train.py train: 更新类别权重设置 2025-05-29 20:23:21 +08:00

control panel v4 - v19 2023-06-06 6:44pm
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This dataset was exported via roboflow.com on May 29, 2025 at 10:27 AM GMT

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visit https://github.com/roboflow/notebooks

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The dataset includes 98 images.
Buttons-on are annotated in YOLOv12 format.

The following pre-processing was applied to each image:
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Resize to 416x416 (Stretch)

No image augmentation techniques were applied.