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industry pannel button detection

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fly6516 20b660c943 feat(datasets): 添加新的训练数据标签 - 在 datasets/train/labels 目录下新增了多个标签文件 - 文件命名格式为：视频ID-帧序号.jpg.rf.哈希值.txt -标签内容包括物体类别和位置信息，用于训练目标检测模型		2025-05-29 19:59:57 +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	feat(datasets): 添加新的训练数据标签	2025-05-29 19:59:57 +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 19:59:57 +08:00
train.py	feat(datasets): 添加新的训练数据标签	2025-05-29 19:59:57 +08:00

README.roboflow.txt

control panel v4 - v19 2023-06-06 6:44pm
==============================

This dataset was exported via roboflow.com on May 29, 2025 at 10:27 AM GMT

Roboflow is an end-to-end computer vision platform that helps you
* collaborate with your team on computer vision projects
* collect & organize images
* understand and search unstructured image data
* annotate, and create datasets
* export, train, and deploy computer vision models
* use active learning to improve your dataset over time

For state of the art Computer Vision training notebooks you can use with this dataset,
visit https://github.com/roboflow/notebooks

To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com

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.