image
imagewidth (px)
32
32
target
class label
10 classes
evaluation_predictions
sequencelengths
10
10
9truck
[ -0.51708984375, 0.104736328125, -0.72021484375, -0.387451171875, -0.47412109375, -0.45849609375, -0.57470703125, -0.587890625, -0.7578125, 4.58984375 ]
4deer
[ -0.53564453125, -0.9111328125, -0.46630859375, 0.460205078125, 4.140625, -0.31689453125, -0.4609375, -0.61474609375, -0.845703125, -0.9580078125 ]
8ship
[ -0.038787841796875, -0.5009765625, -0.4365234375, -0.62255859375, -0.31640625, -0.52783203125, -0.4521484375, -0.611328125, 4.5546875, -0.78173828125 ]
1automobile
[ -0.279052734375, 4.46484375, -0.489013671875, -0.65185546875, -0.5068359375, -0.46484375, -0.60009765625, -0.64013671875, -0.66552734375, -0.423583984375 ]
7horse
[ -0.59130859375, -0.7734375, -0.479736328125, -0.353515625, 0.6259765625, -0.2181396484375, -0.6435546875, 4.21484375, -0.79248046875, -0.740234375 ]
2bird
[ -0.57666015625, -0.619140625, 4.68359375, -0.5673828125, -0.4970703125, -0.54736328125, -0.45361328125, -0.52685546875, -0.546875, -0.69482421875 ]
2bird
[ -0.54931640625, -0.56689453125, 4.60546875, -0.41650390625, -0.4443359375, -0.48876953125, -0.423583984375, -0.814453125, -0.52587890625, -0.76171875 ]
0airplane
[ 4.69140625, -0.41064453125, -0.35693359375, -0.57568359375, -0.47021484375, -0.564453125, -0.2303466796875, -0.71826171875, -0.5166015625, -0.48486328125 ]
4deer
[ -0.66748046875, -0.59375, -0.87744140625, -0.71484375, 4.3828125, -0.55224609375, -0.6396484375, 0.331298828125, -0.5732421875, -0.76611328125 ]
7horse
[ -0.51611328125, -0.5205078125, -0.42333984375, -0.454833984375, -0.37060546875, -0.4609375, -0.64501953125, 4.69921875, -0.333251953125, -0.5654296875 ]
1automobile
[ -0.2056884765625, 4.5, -0.5771484375, -0.63671875, -0.513671875, -0.302734375, -0.52197265625, -0.75732421875, -0.51318359375, -0.77001953125 ]
0airplane
[ 4.484375, -0.5244140625, 0.47412109375, -0.5107421875, -0.60400390625, -0.34423828125, -0.3544921875, -0.5966796875, -0.76416015625, -0.60009765625 ]
7horse
[ -0.63818359375, -0.517578125, -0.494384765625, -0.41259765625, -0.50634765625, -0.196533203125, -0.51806640625, 4.625, -0.415771484375, -0.501953125 ]
5dog
[ -0.43115234375, -0.39892578125, -0.3916015625, -0.287109375, -0.55419921875, 4.58984375, -0.52587890625, -0.50048828125, -0.57958984375, -0.60986328125 ]
2bird
[ -0.50341796875, -0.6884765625, 4.625, -0.48388671875, -0.5166015625, -0.433349609375, -0.489990234375, -0.5830078125, -0.50439453125, -0.7890625 ]
0airplane
[ 4.58203125, -0.059814453125, -0.70849609375, -0.60986328125, -0.42626953125, -0.51171875, -0.273681640625, -0.76123046875, -0.39794921875, -0.5400390625 ]
7horse
[ -0.47802734375, -0.62158203125, -0.61767578125, -0.53466796875, -0.0243682861328125, -0.171630859375, -0.70556640625, 4.609375, -0.406005859375, -0.486328125 ]
3cat
[ -0.388671875, -0.5615234375, -0.472412109375, 4.57421875, -0.572265625, -0.2998046875, -0.3759765625, -0.64794921875, -0.64111328125, -0.475830078125 ]
1automobile
[ -0.47265625, 4.51171875, -0.5693359375, -0.568359375, -0.53857421875, -0.229736328125, -0.473876953125, -0.7041015625, -0.74267578125, -0.4150390625 ]
2bird
[ -0.66845703125, -0.6923828125, 4.57421875, -0.427490234375, 0.0657958984375, -0.4794921875, -0.63037109375, -0.65234375, -0.70361328125, -0.84765625 ]
4deer
[ -0.396240234375, -0.57470703125, -0.49609375, -0.43701171875, 4.375, -0.78662109375, -0.59814453125, -0.849609375, -0.39111328125, -0.72998046875 ]
8ship
[ -0.185302734375, -0.50927734375, -0.309326171875, -0.7177734375, -0.53271484375, -0.485107421875, -0.3876953125, -0.60400390625, 4.59375, -0.5361328125 ]
7horse
[ -0.52978515625, -0.64404296875, -0.5009765625, -0.51123046875, -0.2398681640625, -0.4580078125, -0.498046875, 4.6796875, -0.43310546875, -0.533203125 ]
3cat
[ -0.6845703125, -0.73046875, -0.385009765625, 4.62109375, -0.630859375, 0.1170654296875, -0.57177734375, -0.401611328125, -0.76318359375, -0.47705078125 ]
5dog
[ -0.36376953125, -0.4189453125, -0.533203125, -0.07171630859375, -0.5126953125, 4.640625, -0.5029296875, -0.59619140625, -0.6298828125, -0.49560546875 ]
1automobile
[ 0.1278076171875, 3.9453125, -0.54345703125, -0.53759765625, -0.82470703125, 0.05255126953125, -0.55126953125, -1.00390625, -0.54248046875, 0.04010009765625 ]
3cat
[ -0.52490234375, -0.67578125, -0.26904296875, 4.64453125, -0.7529296875, -0.14794921875, -0.48193359375, -0.52734375, -0.748046875, -0.52197265625 ]
4deer
[ -0.299560546875, -0.53515625, -0.5869140625, -0.74755859375, 4.484375, -0.84521484375, -0.62548828125, -0.5546875, -0.474609375, -0.66845703125 ]
8ship
[ -0.2451171875, -0.44287109375, -0.41845703125, -0.78271484375, -0.46728515625, -0.47607421875, -0.4599609375, -0.58935546875, 4.6328125, -0.43603515625 ]
3cat
[ -0.52001953125, -0.69384765625, -0.407958984375, 4.51953125, -0.580078125, 0.357666015625, -0.6025390625, -0.402099609375, -0.75830078125, -0.62890625 ]
0airplane
[ 4.65234375, -0.304443359375, -0.369384765625, -0.65185546875, -0.40380859375, -0.5859375, -0.347900390625, -0.68408203125, -0.384765625, -0.31787109375 ]
2bird
[ -0.56982421875, -0.61865234375, 4.6640625, -0.619140625, -0.4501953125, -0.52734375, -0.427490234375, -0.5947265625, -0.437744140625, -0.66455078125 ]
5dog
[ -0.52099609375, -0.5654296875, -0.3896484375, 0.2578125, -0.53955078125, 4.5546875, -0.5380859375, -0.46142578125, -0.72802734375, -0.68359375 ]
6frog
[ -0.129638671875, -0.6484375, -0.37060546875, -0.57666015625, -0.5380859375, -0.64599609375, 4.45703125, -0.8115234375, -0.11749267578125, -0.716796875 ]
3cat
[ -0.5400390625, -0.5712890625, -0.5302734375, 4.63671875, -0.60009765625, -0.5, -0.364501953125, -0.48095703125, -0.59521484375, -0.483642578125 ]
6frog
[ -0.31884765625, -0.6533203125, -0.477294921875, -0.04791259765625, -0.5888671875, -0.044097900390625, 4.3125, -0.798828125, -0.481689453125, -0.787109375 ]
7horse
[ -0.65576171875, -0.529296875, -0.308349609375, -0.58935546875, 0.32568359375, -0.5908203125, -0.64501953125, 4.52734375, -0.408935546875, -0.740234375 ]
8ship
[ -0.05322265625, -0.609375, -0.2587890625, -0.490234375, -0.541015625, -0.357177734375, -0.2462158203125, -0.7470703125, 4.390625, -0.7353515625 ]
8ship
[ -0.038421630859375, -0.2763671875, -0.40087890625, -0.76171875, -0.53955078125, -0.5400390625, -0.38623046875, -0.6611328125, 4.609375, -0.62353515625 ]
2bird
[ -0.253173828125, -0.75927734375, 4.5703125, -0.50341796875, -0.1790771484375, -0.68798828125, -0.30126953125, -0.796875, -0.453369140625, -0.89794921875 ]
9truck
[ -0.34765625, 2.384765625, -0.78759765625, -0.77587890625, -0.7294921875, -0.578125, -0.49755859375, -1.1201171875, -0.427734375, 3.265625 ]
6frog
[ -0.33984375, -0.53271484375, -0.422119140625, -0.15966796875, -0.515625, 0.03765869140625, 4.265625, -0.89697265625, -0.57080078125, -0.7666015625 ]
8ship
[ 0.296630859375, -0.314697265625, -0.328125, -0.3837890625, -0.36474609375, -0.478759765625, -0.8662109375, -0.8330078125, 3.958984375, -0.450439453125 ]
6frog
[ -0.41455078125, -0.77197265625, -0.467041015625, -0.43994140625, -0.2098388671875, -0.311279296875, 4.5, -0.67431640625, -0.57568359375, -0.748046875 ]
9truck
[ -0.2890625, 0.045562744140625, -0.61328125, -0.53857421875, -0.685546875, -0.54541015625, -0.61279296875, -0.56201171875, -0.43310546875, 4.65625 ]
8ship
[ -0.216064453125, -0.35693359375, -0.37744140625, -0.54541015625, -0.48779296875, -0.436279296875, -0.383544921875, -0.5791015625, 4.5078125, -0.5849609375 ]
7horse
[ -0.53466796875, -0.6259765625, -0.517578125, -0.4208984375, -0.34130859375, -0.270751953125, -0.6435546875, 4.6640625, -0.365234375, -0.51611328125 ]
0airplane
[ 4.43359375, -0.36181640625, -0.36474609375, -0.360107421875, -0.38671875, -0.3505859375, -0.0386962890625, -0.8076171875, -0.62060546875, -0.5078125 ]
2bird
[ -0.75537109375, -1.076171875, 3.94921875, 1.4765625, -0.314453125, -0.46728515625, -0.5859375, -0.744140625, -0.83544921875, -0.7421875 ]
0airplane
[ 4.69140625, -0.3408203125, -0.5380859375, -0.65234375, -0.36767578125, -0.498046875, -0.30126953125, -0.6474609375, -0.4716796875, -0.494140625 ]
5dog
[ -0.775390625, -0.71630859375, -0.3818359375, 2.025390625, -0.748046875, 3.86328125, -0.352783203125, -0.68701171875, -0.88427734375, -0.83447265625 ]
5dog
[ -0.461181640625, -0.418212890625, -0.392578125, -0.3076171875, -0.5478515625, 4.6484375, -0.48583984375, -0.48681640625, -0.56787109375, -0.468994140625 ]
6frog
[ -0.218994140625, -0.72509765625, -0.5771484375, -0.4521484375, -0.3115234375, -0.5029296875, 4.578125, -0.67041015625, -0.52001953125, -0.62255859375 ]
5dog
[ -0.4052734375, -0.342041015625, -0.48828125, -0.457763671875, -0.51025390625, 4.61328125, -0.52197265625, -0.457275390625, -0.51220703125, -0.419677734375 ]
7horse
[ -0.06707763671875, -0.48974609375, -0.56884765625, -0.212158203125, -0.72705078125, -0.153076171875, -0.580078125, 4.05859375, -0.1414794921875, -0.446533203125 ]
2bird
[ -0.38818359375, -0.6396484375, 4.5390625, -0.51611328125, -0.27685546875, -0.5263671875, -0.35107421875, -0.646484375, -0.71484375, -0.9306640625 ]
9truck
[ -0.2391357421875, -0.373046875, -0.69140625, -0.3486328125, -0.6162109375, -0.39111328125, -0.488037109375, -0.53125, -0.5078125, 4.69140625 ]
8ship
[ -0.031280517578125, -0.54638671875, -0.08843994140625, -0.56689453125, -0.537109375, -0.424560546875, -0.465087890625, -0.55810546875, 4.3515625, -0.5849609375 ]
7horse
[ -0.55419921875, -0.59326171875, -0.55078125, -0.334228515625, -0.38671875, -0.268798828125, -0.43994140625, 4.59765625, -0.51171875, -0.55615234375 ]
5dog
[ -0.68212890625, -0.3740234375, -0.0535888671875, -0.254638671875, -0.5703125, 4.49609375, -0.2568359375, -0.71142578125, -0.5732421875, -0.6865234375 ]
9truck
[ -0.3125, -0.131103515625, -0.61376953125, -0.279052734375, -0.54833984375, -0.455322265625, -0.53173828125, -0.75830078125, -0.61181640625, 4.54296875 ]
1automobile
[ -0.443359375, 4.5703125, -0.6884765625, -0.57763671875, -0.6201171875, -0.45068359375, -0.5791015625, -0.7490234375, -0.64208984375, 0.0230255126953125 ]
3cat
[ 0.068359375, -0.7041015625, -0.353271484375, 3.4765625, -0.6044921875, 0.1595458984375, 0.0621337890625, -0.5185546875, -0.3408203125, -1.01171875 ]
4deer
[ -0.41650390625, -0.66455078125, -0.60888671875, -0.6982421875, 4.51953125, -0.51171875, -0.56494140625, -0.497314453125, -0.56201171875, -0.8017578125 ]
2bird
[ -0.52685546875, -0.55908203125, 4.6640625, -0.466064453125, -0.57080078125, -0.48828125, -0.55908203125, -0.43994140625, -0.56201171875, -0.74658203125 ]
6frog
[ -0.70458984375, -1.025390625, -0.070556640625, 3.51171875, -0.1768798828125, 0.041748046875, 1.5185546875, -0.92626953125, -1.1328125, -1.189453125 ]
9truck
[ -0.30615234375, -0.3525390625, -0.541015625, -0.4375, -0.54248046875, -0.50390625, -0.403076171875, -0.49755859375, -0.63427734375, 4.6328125 ]
2bird
[ -0.465087890625, -0.76611328125, 4.46875, -0.62060546875, -0.0491943359375, -0.7021484375, -0.344970703125, -0.712890625, -0.3974609375, -0.8046875 ]
7horse
[ -0.63525390625, -0.5556640625, -0.5263671875, -0.486328125, -0.31591796875, -0.2822265625, -0.45361328125, 4.63671875, -0.56591796875, -0.466064453125 ]
1automobile
[ -0.364501953125, 4.24609375, -0.52978515625, -0.429443359375, -0.65087890625, -0.328369140625, -0.60595703125, -0.69384765625, -0.65380859375, -0.332763671875 ]
7horse
[ -0.5947265625, -0.44970703125, -0.47900390625, -0.498046875, -0.4072265625, -0.139892578125, -0.5478515625, 4.6171875, -0.53564453125, -0.56201171875 ]
8ship
[ -0.419677734375, -0.32275390625, -0.371337890625, -0.5869140625, -0.36279296875, -0.389404296875, -0.54541015625, -0.501953125, 4.49609375, -0.46728515625 ]
0airplane
[ 4.16015625, -0.6435546875, -0.2442626953125, -0.7392578125, -0.39013671875, -0.78955078125, -0.4677734375, -0.72119140625, 1.2119140625, -0.98193359375 ]
1automobile
[ 2.232421875, 1.953125, -0.5263671875, -0.74560546875, -0.69873046875, -0.1334228515625, -0.919921875, -1.1806640625, -0.59619140625, 0.94189453125 ]
3cat
[ -0.5244140625, -0.74853515625, -0.1719970703125, 4.4296875, -0.2276611328125, -0.9384765625, -0.0792236328125, -0.5439453125, -0.5390625, -0.6982421875 ]
4deer
[ -0.39306640625, -0.63037109375, -0.68798828125, -0.6591796875, 4.48046875, -0.724609375, -0.439453125, -0.55029296875, -0.53369140625, -0.8701171875 ]
7horse
[ -0.65283203125, -0.56787109375, -0.420654296875, -0.4169921875, -0.1905517578125, -0.0450439453125, -0.52587890625, 4.609375, -0.53955078125, -0.693359375 ]
5dog
[ -0.6240234375, -0.489013671875, -0.48681640625, -0.389892578125, -0.50537109375, 4.515625, -0.1473388671875, -0.59716796875, -0.61083984375, -0.435546875 ]
2bird
[ -0.46630859375, -0.6640625, 4.6796875, -0.5771484375, -0.2705078125, -0.59033203125, -0.564453125, -0.6513671875, -0.56298828125, -0.7080078125 ]
0airplane
[ 4.68359375, -0.38916015625, -0.312744140625, -0.58544921875, -0.30615234375, -0.4970703125, -0.2242431640625, -0.75634765625, -0.48828125, -0.6728515625 ]
0airplane
[ 4.62890625, -0.5634765625, -0.317138671875, -0.5302734375, -0.055511474609375, -0.509765625, -0.256591796875, -0.794921875, -0.474853515625, -0.7998046875 ]
2bird
[ -0.413818359375, -0.708984375, 4.66796875, -0.50341796875, -0.5234375, -0.40185546875, -0.58251953125, -0.5556640625, -0.52099609375, -0.73876953125 ]
4deer
[ -0.4228515625, -0.66552734375, -0.32763671875, -0.6943359375, 4.51953125, -0.74853515625, -0.52783203125, -0.68994140625, -0.53125, -0.7880859375 ]
9truck
[ -0.364990234375, -0.2178955078125, -0.7314453125, -0.43408203125, -0.51708984375, -0.3134765625, -0.54248046875, -0.54931640625, -0.521484375, 4.6171875 ]
2bird
[ -0.50146484375, -0.67822265625, 4.64453125, -0.299072265625, -0.6083984375, -0.3623046875, -0.483642578125, -0.5126953125, -0.58837890625, -0.7060546875 ]
0airplane
[ 4.56640625, -0.330810546875, -0.462890625, -0.6845703125, -0.41748046875, -0.65771484375, -0.338134765625, -0.7685546875, 0.36865234375, -0.783203125 ]
4deer
[ -0.552734375, -0.60888671875, -0.466552734375, -0.50244140625, 4.4453125, -0.56201171875, -0.5478515625, -0.51611328125, -0.62109375, -0.849609375 ]
6frog
[ -0.456298828125, -0.88330078125, 0.2406005859375, 0.541015625, -0.32763671875, -0.319580078125, 3.94921875, -0.91162109375, -0.78125, -0.9091796875 ]
1automobile
[ -0.49755859375, 4.59375, -0.5068359375, -0.59521484375, -0.48291015625, -0.302734375, -0.5166015625, -0.56103515625, -0.69287109375, -0.6240234375 ]
3cat
[ -0.68701171875, -1.1728515625, -0.6171875, 3.623046875, -0.1849365234375, 2.283203125, -0.53662109375, -0.5966796875, -0.9326171875, -0.9892578125 ]
4deer
[ -0.564453125, -0.66650390625, -0.59375, -0.52099609375, 4.5234375, -0.333740234375, -0.52685546875, -0.669921875, -0.62451171875, -0.78857421875 ]
6frog
[ -0.297607421875, -0.6171875, -0.533203125, -0.453125, -0.3515625, -0.400634765625, 4.5390625, -0.71142578125, -0.5625, -0.6865234375 ]
7horse
[ -0.515625, -0.5185546875, -0.28271484375, -0.5546875, -0.2484130859375, -0.548828125, -0.55517578125, 4.66796875, -0.491455078125, -0.5849609375 ]
4deer
[ -0.375732421875, -0.619140625, -0.51416015625, -0.845703125, 4.46484375, -0.58447265625, -0.65087890625, -0.51416015625, -0.386962890625, -0.8330078125 ]
9truck
[ -0.2763671875, -0.43798828125, -0.6494140625, -0.339111328125, -0.57568359375, -0.50244140625, -0.52392578125, -0.485595703125, -0.5341796875, 4.6640625 ]
3cat
[ -0.58642578125, -0.736328125, -0.5146484375, 4.546875, -0.61376953125, 0.1697998046875, -0.2369384765625, -0.53271484375, -0.80810546875, -0.5947265625 ]
3cat
[ -0.578125, -0.76025390625, -0.39111328125, 4.50390625, -0.275390625, 0.2294921875, -0.42236328125, -0.67919921875, -0.8134765625, -0.75634765625 ]
5dog
[ -0.66796875, -0.75341796875, -0.55224609375, 2.837890625, -0.39892578125, 3.052734375, -0.9453125, -0.2010498046875, -0.88232421875, -0.9970703125 ]
6frog
[ -0.47021484375, -0.630859375, -0.57470703125, -0.482666015625, -0.09600830078125, -0.270751953125, 4.40625, -0.6337890625, -0.56591796875, -0.76953125 ]
4deer
[ -0.74462890625, -0.56640625, -0.51025390625, -0.783203125, 4.4609375, -0.54443359375, -0.62939453125, 0.001674652099609375, -0.57958984375, -0.7978515625 ]

Dataset Card for AutoTrain Evaluator

This repository contains model predictions generated by AutoTrain for the following task and dataset:

  • Task: Multi-class Image Classification
  • Model: jimypbr/cifar10_outputs
  • Dataset: cifar10

To run new evaluation jobs, visit Hugging Face's automatic model evaluator.

Contributions

Thanks to @davidberg for evaluating this model.

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