• 葡萄干数据集

    原文：

    Raisin Dataset Data Set

    Images of the Kecimen and Besni raisin varieties were obtained with CVS. A total of 900 raisins were used, including 450 from both varieties, and 7 morphological features were extracted.

    Data Set Information:

    Images of Kecimen and Besni raisin varieties grown in Turkey were obtained with CVS. A total of 900 raisin grains were used, including 450 pieces from both varieties. These images were subjected to various stages of pre-processing and 7 morphological features were extracted. These features have been classified using three different artificial intelligence techniques.

    Attribute Information:

    1.) Area: Gives the number of pixels within the boundaries of the raisin.

    2.) Perimeter: It measures the environment by calculating the distance between the boundaries of the raisin and the pixels around it.

    3.) MajorAxisLength: Gives the length of the main axis, which is the longest line that can be drawn on the raisin.

    4.) MinorAxisLength: Gives the length of the small axis, which is the shortest line that can be drawn on the raisin.

    5.) Eccentricity: It gives a measure of the eccentricity of the ellipse, which has the same moments as raisins.

    6.) ConvexArea: Gives the number of pixels of the smallest convex shell of the region formed by the raisin.

    7.) Extent: Gives the ratio of the region formed by the raisin to the total pixels in the bounding box.

    8.) Class: Kecimen and Besni raisin.

    译：

    葡萄干数据集

    使用CVS获得了Kecimen和Besni葡萄干品种的图像。共使用了900个葡萄干，其中450个来自两个品种，并提取了7个形态特征。

    数据集信息：

    使用CVS获得了在土耳其生长的Kecimen和Besni葡萄干品种的图像。总共使用了900粒葡萄干，包括两个品种的450粒。对这些图像进行了不同阶段的预处理，并提取了7个形态学特征。使用三种不同的人工智能技术对这些特征进行了分类。

    属性信息：

    1.）面积：给出葡萄干边界内的像素数。

    2.）周长：它通过计算葡萄干边界和周围像素之间的距离来测量环境。

    3.）MajorAxisLength：给出主轴的长度，这是葡萄干上可以绘制的最长直线。

    4.）MinorAxisLength：给出小轴的长度，这是葡萄干上可以绘制的最短线。

    5.）偏心率：它给出了椭圆偏心率的度量，其具有与葡萄干相同的力矩。

    6.）凸面积：给出葡萄干形成的区域最小凸壳的像素数。

    7.）范围：给出葡萄干形成的区域与边界框中总像素的比率。

    8.）课程：凯西门和贝斯尼葡萄干。

    数据样例：

    Area

    MajorAxisLength

    MinorAxisLength

    Eccentricity

    ConvexArea

    Extent

    Perimeter

    Class

    87524

    442.2460114

    253.291155

    0.819738392

    90546

    0.758650579

    1184.04

    Kecimen

    75166

    406.690687

    243.0324363

    0.801805234

    78789

    0.68412957

    1121.786

    Kecimen

    90856

    442.2670483

    266.3283177

    0.798353619

    93717

    0.637612812

    1208.575

    Kecimen

    45928

    286.5405586

    208.7600423

    0.684989217

    47336

    0.699599385

    844.162

    Kecimen

    79408

    352.1907699

    290.8275329

    0.56401133

    81463

    0.792771926

    1073.251

    Kecimen

    49242

    318.125407

    200.12212

    0.777351277

    51368

    0.658456354

    881.836

    Kecimen

    42492

    310.1460715

    176.1314494

    0.823098681

    43904

    0.665893562

    823.796

    Kecimen

    60952

    332.4554716

    235.429835

    0.706057518

    62329

    0.74359819

    933.366

    Kecimen

    42256

    323.1896072

    172.5759261

    0.845498789

    44743

    0.698030924

    849.728

    Kecimen

    64380

    366.9648423

    227.7716147

    0.784055626

    66125

    0.664375716

    981.544

    Kecimen

    80437

    449.4545811

    232.3255064

    0.856042518

    84460

    0.674235757

    1176.305

    Kecimen

    43725

    301.3222176

    186.9506295

    0.784258452

    45021

    0.697068248

    818.873

    Kecimen

    43441

    276.6108288

    201.8131355

    0.683882337

    45133

    0.690855598

    803.748

    Kecimen

    76792

    338.8575454

    291.3592017

    0.510583813

    78842

    0.772322237

    1042.77

    Kecimen

    74167

    387.7989307

    247.8581228

    0.769089738

    76807

    0.680181585

    1084.729

    Kecimen

    33565

    261.5543311

    167.7084908

    0.767374275

    35794

    0.68155052

    751.413

    Kecimen

    64670

    403.0839752

    206.4846437

    0.858829168

    66419

    0.75677257

    1028.445

    Kecimen

    64762

    354.2939396

    235.7524629

    0.746473726

    66713

    0.694998015

    981.509

    Kecimen

    43295

    304.2844667

    182.8110368

    0.799406959

    44714

    0.713838189

    814.68

    Kecimen

    70699

    418.6985723

    216.5960537

    0.855799392

    72363

    0.728075054

    1061.321

    Kecimen

    69726

    354.1769124

    252.529208

    0.701160962

    71849

    0.734398534

    1035.501

    Kecimen

    57346

    330.4784385

    222.4437485

    0.739555027

    59365

    0.723608833

    928.272

    Kecimen

    82028

    397.1149759

    268.3337727

    0.737169367

    84427

    0.686375085

    1106.355

    Kecimen

    61251

    301.5077895

    273.6599414

    0.419753707

    64732

    0.643595671

    971.769

    Kecimen

    96277

    447.1345225

    275.2161542

    0.788128405

    97865

    0.704057157

    1181.921

    Kecimen

    75620

    368.2242844

    263.4592554

    0.698627251

    77493

    0.726277372

    1059.186

    Kecimen

    73167

    340.055218

    276.0151772

    0.58410581

    74545

    0.778736856

    1010.474

    Kecimen

    60847

    336.9238696

    231.4656959

    0.726660229

    62492

    0.69858783

    964.603

    Kecimen

    81021

    347.7500583

    297.6406265

    0.517134931

    82552

    0.757559607

    1063.868

    Kecimen

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  • 原文地址：https://blog.csdn.net/ISWZY/article/details/126490244