Dataset: peterpanning

Click on any test image to see the reference image. Click on any predicted distortion map to see observers' markings

Bootcamp_PeterPanning: lev=1 ppd=40	Observer marking Cross-validation fold: 2 No. of observers: 16 Peak luminance: 110 cd/m2	Metric: T-ABS Prediction map Pear. correl = 0.793 Spear. correl = 0.0173 RMSE = 0.0664 Likelihood = 0.23	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.771 Spear. correl = 0.00855 RMSE = 0.059 Likelihood = 0.257	Metric: T-sCIELab Prediction map Pear. correl = 0.959 Spear. correl = 0.246 RMSE = 0.0538 Likelihood = 0.352	Metric: T-SSIM Prediction map Pear. correl = 0.883 Spear. correl = 0.187 RMSE = 0.0544 Likelihood = 0.337	Metric: T-FSIM Prediction map Pear. correl = 0.726 Spear. correl = 0.248 RMSE = 0.137 Likelihood = 0.284	Metric: T-VSI Prediction map Pear. correl = 0.902 Spear. correl = 0.205 RMSE = 0.0597 Likelihood = 0.307	Metric: T-Butteraugli Prediction map Pear. correl = 0.775 Spear. correl = 0.362 RMSE = 0.131 Likelihood = 0.334	Metric: T-HDR-VDP Prediction map Pear. correl = 0.596 Spear. correl = 0.366 RMSE = 0.207 Likelihood = 0.292	Metric: CNN Prediction map Pear. correl = 0.954 Spear. correl = 0.401 RMSE = 0.0377 Likelihood = 0.364
Cabin_PeterPanning: lev=1 ppd=40	Observer marking Cross-validation fold: 2 No. of observers: 16 Peak luminance: 110 cd/m2	Metric: T-ABS Prediction map Pear. correl = 0.702 Spear. correl = 0.311 RMSE = 0.0751 Likelihood = 0.321	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.637 Spear. correl = 0.308 RMSE = 0.08 Likelihood = 0.308	Metric: T-sCIELab Prediction map Pear. correl = 0.707 Spear. correl = 0.333 RMSE = 0.0841 Likelihood = 0.349	Metric: T-SSIM Prediction map Pear. correl = 0.758 Spear. correl = 0.518 RMSE = 0.0808 Likelihood = 0.362	Metric: T-FSIM Prediction map Pear. correl = 0.761 Spear. correl = 0.391 RMSE = 0.101 Likelihood = 0.37	Metric: T-VSI Prediction map Pear. correl = 0.741 Spear. correl = 0.334 RMSE = 0.0803 Likelihood = 0.356	Metric: T-Butteraugli Prediction map Pear. correl = 0.827 Spear. correl = 0.614 RMSE = 0.092 Likelihood = 0.386	Metric: T-HDR-VDP Prediction map Pear. correl = 0.699 Spear. correl = 0.474 RMSE = 0.161 Likelihood = 0.356	Metric: CNN Prediction map Pear. correl = 0.777 Spear. correl = 0.68 RMSE = 0.0749 Likelihood = 0.368
Castle_PeterPanning: lev=1 ppd=40	Observer marking Cross-validation fold: 1 No. of observers: 16 Peak luminance: 110 cd/m2	Metric: T-ABS Prediction map Pear. correl = 0.433 Spear. correl = 0.228 RMSE = 0.0564 Likelihood = 0.409	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.477 Spear. correl = 0.228 RMSE = 0.0446 Likelihood = 0.409	Metric: T-sCIELab Prediction map Pear. correl = 0.597 Spear. correl = 0.459 RMSE = 0.0642 Likelihood = 0.415	Metric: T-SSIM Prediction map Pear. correl = 0.475 Spear. correl = 0.29 RMSE = 0.0712 Likelihood = 0.408	Metric: T-FSIM Prediction map Pear. correl = 0.535 Spear. correl = 0.436 RMSE = 0.085 Likelihood = 0.411	Metric: T-VSI Prediction map Pear. correl = 0.497 Spear. correl = 0.301 RMSE = 0.0755 Likelihood = 0.407	Metric: T-Butteraugli Prediction map Pear. correl = 0.613 Spear. correl = 0.49 RMSE = 0.0955 Likelihood = 0.405	Metric: T-HDR-VDP Prediction map Pear. correl = 0.46 Spear. correl = 0.407 RMSE = 0.185 Likelihood = 0.362	Metric: CNN Prediction map Pear. correl = 0.423 Spear. correl = 0.139 RMSE = 0.0721 Likelihood = 0.396
Classroom_PeterPanning: lev=1 ppd=40	Observer marking Cross-validation fold: 1 No. of observers: 16 Peak luminance: 110 cd/m2	Metric: T-ABS Prediction map Pear. correl = 0.759 Spear. correl = 0.189 RMSE = 0.0766 Likelihood = 0.262	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.749 Spear. correl = 0.188 RMSE = 0.0732 Likelihood = 0.262	Metric: T-sCIELab Prediction map Pear. correl = 0.758 Spear. correl = 0.505 RMSE = 0.172 Likelihood = 0.292	Metric: T-SSIM Prediction map Pear. correl = 0.863 Spear. correl = 0.633 RMSE = 0.104 Likelihood = 0.29	Metric: T-FSIM Prediction map Pear. correl = 0.733 Spear. correl = 0.368 RMSE = 0.184 Likelihood = 0.238	Metric: T-VSI Prediction map Pear. correl = 0.883 Spear. correl = 0.429 RMSE = 0.111 Likelihood = 0.298	Metric: T-Butteraugli Prediction map Pear. correl = 0.56 Spear. correl = 0.525 RMSE = 0.326 Likelihood = 0.145	Metric: T-HDR-VDP Prediction map Pear. correl = 0.41 Spear. correl = 0.458 RMSE = 0.46 Likelihood = -0.0539	Metric: CNN Prediction map Pear. correl = 0.726 Spear. correl = 0.491 RMSE = 0.137 Likelihood = 0.296
HotelRoom_PeterPanning: lev=1 ppd=40	Observer marking Cross-validation fold: 4 No. of observers: 16 Peak luminance: 110 cd/m2	Metric: T-ABS Prediction map Pear. correl = 0.829 Spear. correl = 0.559 RMSE = 0.0555 Likelihood = 0.367	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.816 Spear. correl = 0.559 RMSE = 0.0497 Likelihood = 0.365	Metric: T-sCIELab Prediction map Pear. correl = 0.872 Spear. correl = 0.716 RMSE = 0.106 Likelihood = 0.385	Metric: T-SSIM Prediction map Pear. correl = 0.873 Spear. correl = 0.735 RMSE = 0.0748 Likelihood = 0.379	Metric: T-FSIM Prediction map Pear. correl = 0.737 Spear. correl = 0.281 RMSE = 0.127 Likelihood = 0.348	Metric: T-VSI Prediction map Pear. correl = 0.885 Spear. correl = 0.738 RMSE = 0.0799 Likelihood = 0.384	Metric: T-Butteraugli Prediction map Pear. correl = 0.703 Spear. correl = 0.658 RMSE = 0.174 Likelihood = 0.361	Metric: T-HDR-VDP Prediction map Pear. correl = 0.535 Spear. correl = 0.478 RMSE = 0.26 Likelihood = 0.291	Metric: CNN Prediction map Pear. correl = 0.868 Spear. correl = 0.643 RMSE = 0.0909 Likelihood = 0.396
Lake_PeterPanning: lev=1 ppd=40	Observer marking Cross-validation fold: 3 No. of observers: 16 Peak luminance: 110 cd/m2	Metric: T-ABS Prediction map Pear. correl = 0.705 Spear. correl = 0.0451 RMSE = 0.0542 Likelihood = 0.301	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.7 Spear. correl = 0.0451 RMSE = 0.0564 Likelihood = 0.303	Metric: T-sCIELab Prediction map Pear. correl = 0.862 Spear. correl = 0.231 RMSE = 0.0386 Likelihood = 0.314	Metric: T-SSIM Prediction map Pear. correl = 0.717 Spear. correl = 0.102 RMSE = 0.0557 Likelihood = 0.3	Metric: T-FSIM Prediction map Pear. correl = 0.809 Spear. correl = 0.192 RMSE = 0.0464 Likelihood = 0.306	Metric: T-VSI Prediction map Pear. correl = 0.8 Spear. correl = 0.0766 RMSE = 0.0463 Likelihood = 0.301	Metric: T-Butteraugli Prediction map Pear. correl = 0.858 Spear. correl = 0.232 RMSE = 0.0454 Likelihood = 0.32	Metric: T-HDR-VDP Prediction map Pear. correl = 0.67 Spear. correl = 0.162 RMSE = 0.112 Likelihood = 0.291	Metric: CNN Prediction map Pear. correl = 0.938 Spear. correl = 0.475 RMSE = 0.028 Likelihood = 0.346
Lantern_PeterPanning: lev=1 ppd=40	Observer marking Cross-validation fold: 3 No. of observers: 16 Peak luminance: 110 cd/m2	Metric: T-ABS Prediction map Pear. correl = 0.836 Spear. correl = 0.612 RMSE = 0.0726 Likelihood = 0.275	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.775 Spear. correl = 0.592 RMSE = 0.0839 Likelihood = 0.253	Metric: T-sCIELab Prediction map Pear. correl = 0.88 Spear. correl = 0.633 RMSE = 0.0786 Likelihood = 0.296	Metric: T-SSIM Prediction map Pear. correl = 0.861 Spear. correl = 0.783 RMSE = 0.0732 Likelihood = 0.256	Metric: T-FSIM Prediction map Pear. correl = 0.883 Spear. correl = 0.637 RMSE = 0.0716 Likelihood = 0.275	Metric: T-VSI Prediction map Pear. correl = 0.842 Spear. correl = 0.575 RMSE = 0.078 Likelihood = 0.243	Metric: T-Butteraugli Prediction map Pear. correl = 0.812 Spear. correl = 0.789 RMSE = 0.196 Likelihood = 0.294	Metric: T-HDR-VDP Prediction map Pear. correl = 0.742 Spear. correl = 0.679 RMSE = 0.245 Likelihood = 0.242	Metric: CNN Prediction map Pear. correl = 0.906 Spear. correl = 0.633 RMSE = 0.0602 Likelihood = 0.274
Office_PeterPanning: lev=1 ppd=40	Observer marking Cross-validation fold: 1 No. of observers: 16 Peak luminance: 110 cd/m2	Metric: T-ABS Prediction map Pear. correl = 0.727 Spear. correl = -0.0809 RMSE = 0.0673 Likelihood = 0.307	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.721 Spear. correl = -0.091 RMSE = 0.0607 Likelihood = 0.301	Metric: T-sCIELab Prediction map Pear. correl = 0.734 Spear. correl = -0.03 RMSE = 0.099 Likelihood = 0.348	Metric: T-SSIM Prediction map Pear. correl = 0.806 Spear. correl = 0.137 RMSE = 0.0796 Likelihood = 0.391	Metric: T-FSIM Prediction map Pear. correl = 0.649 Spear. correl = 0.00186 RMSE = 0.118 Likelihood = 0.335	Metric: T-VSI Prediction map Pear. correl = 0.775 Spear. correl = -0.0338 RMSE = 0.0847 Likelihood = 0.355	Metric: T-Butteraugli Prediction map Pear. correl = 0.507 Spear. correl = -0.0107 RMSE = 0.168 Likelihood = 0.335	Metric: T-HDR-VDP Prediction map Pear. correl = 0.394 Spear. correl = 0.00213 RMSE = 0.217 Likelihood = 0.292	Metric: CNN Prediction map Pear. correl = 0.838 Spear. correl = 0.283 RMSE = 0.0613 Likelihood = 0.392
SeasideCabin_PeterPanning: lev=1 ppd=40	Observer marking Cross-validation fold: 4 No. of observers: 16 Peak luminance: 110 cd/m2	Metric: T-ABS Prediction map Pear. correl = 0.938 Spear. correl = 0.368 RMSE = 0.0571 Likelihood = 0.309	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.916 Spear. correl = 0.29 RMSE = 0.0588 Likelihood = 0.257	Metric: T-sCIELab Prediction map Pear. correl = 0.835 Spear. correl = 0.348 RMSE = 0.123 Likelihood = 0.328	Metric: T-SSIM Prediction map Pear. correl = 0.883 Spear. correl = 0.465 RMSE = 0.0952 Likelihood = 0.341	Metric: T-FSIM Prediction map Pear. correl = 0.804 Spear. correl = 0.324 RMSE = 0.117 Likelihood = 0.306	Metric: T-VSI Prediction map Pear. correl = 0.927 Spear. correl = 0.268 RMSE = 0.0668 Likelihood = 0.335	Metric: T-Butteraugli Prediction map Pear. correl = 0.646 Spear. correl = 0.517 RMSE = 0.205 Likelihood = 0.299	Metric: T-HDR-VDP Prediction map Pear. correl = 0.536 Spear. correl = 0.485 RMSE = 0.268 Likelihood = 0.237	Metric: CNN Prediction map Pear. correl = 0.964 Spear. correl = 0.623 RMSE = 0.0511 Likelihood = 0.367
Ship_PeterPanning: lev=1 ppd=40	Observer marking Cross-validation fold: 3 No. of observers: 16 Peak luminance: 110 cd/m2	Metric: T-ABS Prediction map Pear. correl = 0.555 Spear. correl = 0.262 RMSE = 0.0831 Likelihood = 0.269	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.563 Spear. correl = 0.262 RMSE = 0.0816 Likelihood = 0.269	Metric: T-sCIELab Prediction map Pear. correl = 0.649 Spear. correl = 0.584 RMSE = 0.102 Likelihood = 0.298	Metric: T-SSIM Prediction map Pear. correl = 0.555 Spear. correl = 0.363 RMSE = 0.0964 Likelihood = 0.273	Metric: T-FSIM Prediction map Pear. correl = 0.694 Spear. correl = 0.571 RMSE = 0.0886 Likelihood = 0.29	Metric: T-VSI Prediction map Pear. correl = 0.656 Spear. correl = 0.389 RMSE = 0.0871 Likelihood = 0.273	Metric: T-Butteraugli Prediction map Pear. correl = 0.661 Spear. correl = 0.62 RMSE = 0.109 Likelihood = 0.319	Metric: T-HDR-VDP Prediction map Pear. correl = 0.617 Spear. correl = 0.552 RMSE = 0.214 Likelihood = 0.27	Metric: CNN Prediction map Pear. correl = 0.524 Spear. correl = 0.556 RMSE = 0.0923 Likelihood = 0.284