Coal Detect - v1 2023-02-17 7:25pm
==============================
This dataset was exported via roboflow.com on December 15, 2023 at 7:15 AM GMT
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For state of the art Computer Vision training notebooks you can use with this dataset,
visit https://github.com/roboflow/notebooks
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The dataset includes 312 images.
Coal are annotated in YOLOv8 format.
The following pre-processing was applied to each image:
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Resize to 640x640 (Stretch)
The following augmentation was applied to create 3 versions of each source image:
* 50% probability of horizontal flip
* 50% probability of vertical flip
* Random brigthness adjustment of between -25 and +25 percent
* Salt and pepper noise was applied to 5 percent of pixels
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煤和传送带(皮带)识别数据集,使用yolov8格式标注,能精准识别皮带和煤,平均识别率高达99.5%
共627个文件
txt:314个
jpg:312个
yaml:1个
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煤和传送带(皮带)识别数据集,使用yolov8格式标注,能精准识别皮带和煤,平均识别率高达99.5% 图片可以查看https://backend.blog.csdn.net/article/details/144511910
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煤和传送带(皮带)识别数据集,使用yolov8格式标注,能精准识别皮带和煤,平均识别率高达99.5% (627个子文件)
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