cifar10 knn to much accuracy ?

i classify cifar10 for first group with knn and receive 100 percent accuracy i think it should happen

imgSetTrain=imageSet(fullfile(pathcifar,'cifar10Train'), 'recursive');
imgSetTest=imageSet(fullfile(pathcifar,'cifar10Test'), 'recursive');

classNames = { 'airplane' , 'automobile' , 'bird',...
    'cat' ,  'deer' , 'dog'  , 'frog',...
    'horse' ,  'ship' , 'truck'};
ActDet =[];
knn=5;
for( k=1)%length(imgSetTest))
    disp(k)
    curSet=imgSetTest(k);
    detectClass=zeros(curSet.Count,1);

      for(ji=1:curSet.Count)
          imgcur=gpuArray(read(curSet,ji));

          % run on train
          AllDist=[]; AllGroups=[];
          for( kr=1:length(imgSetTrain))
              kr
              curSetTrain=imgSetTest(kr);
               for(jir=1:curSetTrain.Count)
                    imgTrain=gpuArray(read(curSetTrain,jir));
                    AllGroups=[AllGroups;kr];
                    distImg=abs(imgcur-imgTrain);
                    distImg = sum(distImg(:))/numel(distImg);
                    AllDist=[AllDist ;distImg];
               end
          end

         [dataSel indexSel]=sort(AllDist) ;
          selGroups = AllGroups(indexSel(1:knn));

           [js jsh]=hist(selGroups,[1:10]);
           [kjs kjsi]=max(js);
           detectClass(ji)=kjsi;

           ActDet = [ActDet; k detectClass(ji)]
      end

end