1 | % PRDATASETS: Pattern Recognition Datasets in PRTools format |
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2 | % Version 2.04 20-Mar-2017 |
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3 | % |
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4 | %Feature based labeled datasets |
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5 | %------------------------------ |
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6 | %name objects feats classes |
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7 | %x80 45 8 3 radial distances of characters |
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8 | %arrhythmia 420 278 2 presence or absence of cardia arrhythmia |
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9 | %auto_mpg 398 6 2 car/miles-per-gallon |
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10 | %biomed 194 5 2 various patient indicators |
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11 | %breast 683 9 2 Wisconsion breast cancer dataset |
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12 | %car 1728 6 4 Car evaluation database |
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13 | %cbands 12000 30 24 chromosome banding patterns |
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14 | %chromo 1143 8 24 chromosome blob features |
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15 | %diabetes 768 8 2 Pima Indians Diabetes Database |
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16 | %ecoli 272 7 3 protein localisation sites |
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17 | %glass 214 9 4 glass types from chemical components |
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18 | %heart 297 13 2 heart disease dataset |
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19 | %hepatitis 112 19 2 hepatitis database |
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20 | %imox 192 8 4 radial distances of characters |
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21 | %ionosphere 351 34 2 radar data |
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22 | %iris 150 4 3 Fisher's Iris dataset |
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23 | %liver 345 6 2 liver disorder |
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24 | %malaysia 291 8 20 segment features in utility symbols |
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25 | %satellite 6435 36 6 spectral data |
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26 | %sonar 208 60 2 rock / metal sonar features |
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27 | %soybean1 266 35 19 large Soybeans |
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28 | %soybean2 136 35 4 small Soybeans |
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29 | %twonorm 7400 20 2 Leo Breiman's two normal example. |
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30 | %ringnorm 7400 20 2 Leo Breiman's ringnorm example. |
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31 | %wine 178 13 3 wine recognition |
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32 | %mfeat_fac 2000 216 10 face features in digits dataset |
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33 | %mfeat_fou 2000 76 10 Fourier features in digits dataset |
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34 | %mfeat_kar 2000 64 10 Karhunen Loeve features in digits dataset |
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35 | %mfeat_pix 2000 240 10 pixel features in digits dataset |
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36 | %mfeat_zer 2000 53 10 Zernike moments in digits dataset |
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37 | %mfeat_mor 2000 6 10 morphological features in digits dataset |
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38 | %mfeat 2000 649 10 combined features of the mfeat datasets |
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39 | % |
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40 | %Multi-band images (pixels are objects, bands are features) |
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41 | %---------------------------------------------------------- |
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42 | %name pixels bands classes |
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43 | %emim 128*128 8 1 A seto of 5 8-band EM images |
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44 | %lena 256*256 3 1 full-color image |
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45 | %texturel 5*128*128 7 5 texture features for 5 different texture images |
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46 | %texturet 256*256 7 5 composite texture image |
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47 | % |
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48 | %Image datasets (pixels are features, images are objects) |
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49 | %-------------------------------------------------------- |
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50 | %name images pixels classes |
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51 | %kimia 216 64*64 18 resampled Kimia dataset of silhouettes |
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52 | %mnist8 70000 8*8 10 normalized MNIST digits |
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53 | %nist16 2000 16*16 10 normalized NIST digits |
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54 | %nist32 5000 32*32 10 resemapled MNIST digits |
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