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

README.dataset.txt

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+# control panel v4 > 2023-06-06 6:44pm
+https://universe.roboflow.com/class-swogf/control-panel-v4
+
+Provided by a Roboflow user
+License: Public Domain
+

README.roboflow.txt

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+
+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.
+
+

data.yaml

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+train: ../train/images
+val: ../valid/images
+test: ../test/images
+
+nc: 3
+names: ['button-off', 'button-on', 'gauge']

datasets/test/labels/3383011008094_mp4-19_jpg.rf.377dffeb92226013b2abf60eb66473a7.txt

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+0 0.14543269230769232 0.27283653846153844 0.11658653846153846 0.0673076923076923
+0 0.1622596153846154 0.5913461538461539 0.10336538461538461 0.05889423076923077
+0 0.5829326923076923 0.5949519230769231 0.10576923076923077 0.056490384615384616
+0 0.5817307692307693 0.2704326923076923 0.10336538461538461 0.06490384615384616
+1 0.16346153846153846 0.4326923076923077 0.11658653846153846 0.0625
+1 0.5829326923076923 0.43149038461538464 0.11658653846153846 0.0625

datasets/test/labels/fig7_jpg.rf.d3931b09b7e7a80c193228e61eef502d.txt

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+0 0.6117788461538461 0.515625 0.09375 0.06370192307692307

datasets/test/labels/trial00001_0007_jpg.rf.9fd7890d66ef72bee4add4da96ffa797.txt

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datasets/test/labels/trial01_0028_jpg.rf.e7ad784bacbf57262265ae51e83e5683.txt

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+1 0.05048076923076923 0.8401442307692307 0.09975961538461539 0.2403846153846154

datasets/test/labels/trial01_0044_jpg.rf.d3b72af4f32cb147c1436deaad618590.txt

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datasets/test/labels/trial01_0045_jpg.rf.fd18737da40b60520722682f40b42039.txt

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datasets/train/labels/3383010899951_mp4-22_jpg.rf.59542d2b07a4dd98710cedaabcda366e.txt

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datasets/train/labels/3383010899951_mp4-25_jpg.rf.b5b88643e8b4082f97875393340a1b76.txt

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