Datasets:
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image
imagewidth (px) 32
32
| target
class label 10
classes | evaluation_predictions
sequencelengths 10
10
|
|---|---|---|
9truck
| [
-0.302978515625,
0.3623046875,
-0.83349609375,
-0.53759765625,
-0.49072265625,
-0.978515625,
-0.7724609375,
-0.67138671875,
-0.625,
5.99609375
] |
|
4deer
| [
-0.6240234375,
-0.91796875,
-0.335693359375,
-0.305908203125,
5.62109375,
-0.318603515625,
-0.61181640625,
-0.348876953125,
-0.9560546875,
-0.62353515625
] |
|
8ship
| [
0.255615234375,
-0.59619140625,
-0.86572265625,
-0.88037109375,
-0.9111328125,
-0.93310546875,
-0.71630859375,
-0.8798828125,
5.9453125,
-0.580078125
] |
|
1automobile
| [
-0.7294921875,
5.9296875,
-0.81884765625,
-0.79833984375,
-0.78076171875,
-0.9775390625,
-0.86865234375,
-0.66943359375,
-0.53173828125,
0.196044921875
] |
|
7horse
| [
-0.410888671875,
-0.9853515625,
-0.62255859375,
-0.66552734375,
0.1993408203125,
-0.25927734375,
-1.154296875,
5.6796875,
-1.138671875,
-0.68505859375
] |
|
2bird
| [
-0.52490234375,
-0.87353515625,
5.8359375,
-0.66357421875,
-0.5654296875,
-0.72509765625,
-0.07440185546875,
-0.64501953125,
-0.83837890625,
-0.810546875
] |
|
2bird
| [
-0.53369140625,
-0.89697265625,
5.671875,
-0.2861328125,
-0.541015625,
-0.71044921875,
-0.195556640625,
-0.75,
-0.98388671875,
-0.92138671875
] |
|
0airplane
| [
5.87109375,
-0.9658203125,
-0.204833984375,
-0.607421875,
-0.65625,
-0.90478515625,
-0.480224609375,
-0.8154296875,
-0.46923828125,
-0.703125
] |
|
4deer
| [
-0.88916015625,
-0.69921875,
-0.84033203125,
-0.443603515625,
5.75,
-0.34423828125,
-0.97216796875,
0.384765625,
-0.826171875,
-0.599609375
] |
|
7horse
| [
-0.60009765625,
-0.81884765625,
-0.4462890625,
-0.64501953125,
-0.45263671875,
-0.5263671875,
-0.92919921875,
6.0625,
-0.79052734375,
-0.67529296875
] |
|
1automobile
| [
-0.58251953125,
5.99609375,
-0.8681640625,
-0.87744140625,
-0.796875,
-0.677734375,
-0.6611328125,
-0.81103515625,
-0.5390625,
-0.354248046875
] |
|
0airplane
| [
5.6953125,
-1.291015625,
-0.348876953125,
-0.6748046875,
-0.5029296875,
-0.86328125,
-0.7919921875,
-0.41748046875,
-0.2208251953125,
-0.51025390625
] |
|
7horse
| [
-0.71142578125,
-0.7265625,
-0.68408203125,
-0.505859375,
-0.62744140625,
-0.2344970703125,
-0.853515625,
6.01953125,
-0.78955078125,
-0.6904296875
] |
|
5dog
| [
-0.74365234375,
-0.837890625,
-1.1591796875,
-0.0051116943359375,
-0.65478515625,
5.69140625,
-0.8984375,
-0.77392578125,
-0.70458984375,
-0.97607421875
] |
|
2bird
| [
-0.62451171875,
-0.87890625,
5.81640625,
-0.50439453125,
-0.638671875,
-0.56591796875,
-0.56884765625,
-0.470947265625,
-0.74755859375,
-0.861328125
] |
|
0airplane
| [
5.8046875,
-0.734375,
-0.65380859375,
-0.6279296875,
-0.60546875,
-1.0439453125,
-0.5869140625,
-0.65771484375,
-0.33544921875,
-0.314208984375
] |
|
7horse
| [
-0.638671875,
-0.89111328125,
-0.6005859375,
-0.58349609375,
-0.07965087890625,
-0.08526611328125,
-1.1435546875,
5.8671875,
-1.0615234375,
-0.7294921875
] |
|
3cat
| [
-0.61572265625,
-1.04296875,
-0.70849609375,
5.421875,
-0.62109375,
0.0872802734375,
-0.392822265625,
-0.90673828125,
-0.8212890625,
-0.69189453125
] |
|
1automobile
| [
-0.89892578125,
5.9375,
-0.86376953125,
-0.72314453125,
-0.85546875,
-0.5712890625,
-0.87451171875,
-0.7294921875,
-0.7080078125,
0.268798828125
] |
|
2bird
| [
-0.5966796875,
-1.0322265625,
5.875,
-0.38818359375,
-0.423583984375,
-0.64697265625,
-0.48828125,
-0.59326171875,
-0.83935546875,
-0.9169921875
] |
|
4deer
| [
-0.5634765625,
-0.712890625,
-0.64892578125,
0.24560546875,
5.67578125,
-0.7529296875,
-0.7998046875,
-0.53759765625,
-0.7705078125,
-0.43115234375
] |
|
8ship
| [
0.057403564453125,
-0.6806640625,
-0.806640625,
-0.86181640625,
-1.005859375,
-0.748046875,
-0.83251953125,
-0.62841796875,
5.828125,
-0.5712890625
] |
|
7horse
| [
-0.72509765625,
-0.7939453125,
-0.5205078125,
-0.70947265625,
-0.1646728515625,
-0.450439453125,
-0.98095703125,
6.0859375,
-0.828125,
-0.70849609375
] |
|
3cat
| [
-0.7724609375,
-1.0185546875,
-0.493408203125,
5.63671875,
-0.61669921875,
0.297607421875,
-0.57177734375,
-0.572265625,
-1.0810546875,
-0.8837890625
] |
|
5dog
| [
-0.87451171875,
-0.83740234375,
-1.220703125,
0.4091796875,
-0.7275390625,
5.703125,
-1.0498046875,
-0.56982421875,
-0.90478515625,
-1.037109375
] |
|
1automobile
| [
-0.541015625,
5.12890625,
-1.0087890625,
-0.79052734375,
-1.2275390625,
-1.1044921875,
-1.0458984375,
-0.95849609375,
-0.28955078125,
2.212890625
] |
|
3cat
| [
-0.6142578125,
-0.84228515625,
-0.441650390625,
5.5625,
-1.0361328125,
0.38427734375,
-0.755859375,
-0.81884765625,
-0.93017578125,
-0.7724609375
] |
|
4deer
| [
-0.439208984375,
-0.71337890625,
-0.25390625,
-0.48681640625,
5.984375,
-0.84619140625,
-0.61669921875,
-0.283447265625,
-0.7275390625,
-0.74853515625
] |
|
8ship
| [
0.277587890625,
-0.427001953125,
-0.81494140625,
-0.97900390625,
-0.8349609375,
-1.0810546875,
-0.921875,
-0.7880859375,
5.92578125,
-0.57373046875
] |
|
3cat
| [
-0.7666015625,
-1.115234375,
-0.4287109375,
5.5390625,
-0.9189453125,
0.69921875,
-0.70263671875,
-0.658203125,
-1.0205078125,
-0.9443359375
] |
|
0airplane
| [
5.76171875,
-0.994140625,
-0.53662109375,
-0.53369140625,
-0.66259765625,
-0.99951171875,
-0.95703125,
-0.5947265625,
-0.27001953125,
-0.013458251953125
] |
|
2bird
| [
-0.572265625,
-1.001953125,
5.85546875,
-0.57177734375,
-0.494140625,
-0.74169921875,
-0.4267578125,
-0.55419921875,
-0.7431640625,
-0.71337890625
] |
|
5dog
| [
-1.4453125,
-1.431640625,
-0.80029296875,
1.3857421875,
-0.9189453125,
5.30078125,
-0.29833984375,
-0.56689453125,
-1.21875,
-1.03515625
] |
|
6frog
| [
-0.52880859375,
-0.8408203125,
-0.01024627685546875,
-0.452392578125,
-0.74658203125,
-1.0224609375,
5.94921875,
-1.0244140625,
-0.050750732421875,
-0.85400390625
] |
|
3cat
| [
-0.61279296875,
-0.78173828125,
-0.79345703125,
5.58203125,
-0.6044921875,
-0.234619140625,
-0.52294921875,
-0.80615234375,
-0.80224609375,
-0.57421875
] |
|
6frog
| [
-0.7939453125,
-0.9033203125,
-0.2255859375,
-0.0858154296875,
-0.7412109375,
-0.650390625,
5.89453125,
-0.7880859375,
-0.69140625,
-0.6357421875
] |
|
7horse
| [
-0.5830078125,
-0.8447265625,
-0.330322265625,
-0.701171875,
-0.074951171875,
-0.51123046875,
-1.0859375,
5.83984375,
-0.86669921875,
-0.74951171875
] |
|
8ship
| [
0.1591796875,
-0.68798828125,
-0.80517578125,
-0.771484375,
-0.97119140625,
-0.77685546875,
-0.62841796875,
-0.80029296875,
5.8203125,
-0.66943359375
] |
|
8ship
| [
0.0318603515625,
-0.62744140625,
-0.8046875,
-0.7783203125,
-1.0263671875,
-0.81982421875,
-0.66015625,
-0.80810546875,
5.984375,
-0.5751953125
] |
|
2bird
| [
-0.0100250244140625,
-0.99560546875,
5.83984375,
-0.68408203125,
-0.339111328125,
-1.095703125,
-0.35205078125,
-0.6787109375,
-0.73583984375,
-0.97265625
] |
|
9truck
| [
-0.272216796875,
2.296875,
-1.287109375,
-0.9951171875,
-0.8955078125,
-1.2333984375,
-1.1748046875,
-0.66064453125,
-0.290283203125,
5.296875
] |
|
6frog
| [
-0.69482421875,
-0.880859375,
-0.56787109375,
-0.08099365234375,
-0.63232421875,
-0.5517578125,
5.91796875,
-0.904296875,
-0.51953125,
-0.7333984375
] |
|
8ship
| [
0.26513671875,
-0.3486328125,
-0.89697265625,
-0.8564453125,
-0.73681640625,
-1.1650390625,
-1.1435546875,
-0.88232421875,
5.70703125,
-0.21728515625
] |
|
6frog
| [
-0.77099609375,
-0.78857421875,
-0.451416015625,
-0.40380859375,
-0.388671875,
-0.65087890625,
6.08203125,
-0.8349609375,
-0.5029296875,
-0.896484375
] |
|
9truck
| [
-0.2261962890625,
0.5927734375,
-0.75732421875,
-0.64794921875,
-0.68994140625,
-0.88623046875,
-1.080078125,
-0.69189453125,
-0.43115234375,
6.02734375
] |
|
8ship
| [
-0.2666015625,
-0.5888671875,
-0.71923828125,
-0.77294921875,
-1.060546875,
-0.7353515625,
-0.5048828125,
-0.72509765625,
5.7578125,
-0.5107421875
] |
|
7horse
| [
-0.626953125,
-0.744140625,
-0.6083984375,
-0.51806640625,
-0.341552734375,
-0.260498046875,
-1.0986328125,
5.99609375,
-0.95849609375,
-0.60498046875
] |
|
0airplane
| [
5.296875,
-1.0419921875,
-0.416748046875,
-0.390869140625,
-0.411376953125,
-0.80029296875,
-0.34716796875,
-0.7568359375,
-0.6396484375,
-0.33837890625
] |
|
2bird
| [
-0.5078125,
-1.2158203125,
4.734375,
0.70703125,
-0.1241455078125,
-0.499755859375,
-0.57763671875,
-0.68994140625,
-1.0712890625,
-0.86669921875
] |
|
0airplane
| [
5.859375,
-0.9267578125,
-0.50634765625,
-0.572265625,
-0.681640625,
-0.8076171875,
-0.828125,
-0.5673828125,
-0.43115234375,
-0.4619140625
] |
|
5dog
| [
-0.861328125,
-1.205078125,
-0.89013671875,
1.5634765625,
-1.263671875,
5.125,
-1.1328125,
0.03997802734375,
-1.0986328125,
-1.240234375
] |
|
5dog
| [
-0.91796875,
-0.89208984375,
-0.80419921875,
0.145751953125,
-0.89990234375,
5.61328125,
-0.67822265625,
-0.6640625,
-1.13671875,
-0.9638671875
] |
|
6frog
| [
-0.5283203125,
-0.765625,
-0.393798828125,
-0.37255859375,
-0.64453125,
-0.818359375,
6.08203125,
-0.80859375,
-0.4833984375,
-0.720703125
] |
|
5dog
| [
-0.82861328125,
-0.54443359375,
-1.19140625,
-0.1416015625,
-0.6552734375,
5.58203125,
-0.8798828125,
-0.84423828125,
-0.8857421875,
-0.78173828125
] |
|
7horse
| [
-0.422119140625,
-0.7021484375,
-0.669921875,
-0.047607421875,
-0.6767578125,
-0.0321044921875,
-1.0009765625,
4.71875,
-0.80322265625,
-0.56591796875
] |
|
2bird
| [
-0.423095703125,
-1.0146484375,
5.6796875,
-0.468017578125,
-0.40234375,
-0.74169921875,
0.016021728515625,
-0.7138671875,
-1.0908203125,
-0.9296875
] |
|
9truck
| [
-0.18896484375,
0.11767578125,
-0.8310546875,
-0.5908203125,
-0.44970703125,
-0.90966796875,
-0.70947265625,
-0.64794921875,
-0.64697265625,
6
] |
|
8ship
| [
0.072265625,
-0.72802734375,
-0.76318359375,
-0.748046875,
-0.9814453125,
-0.60791015625,
-0.69677734375,
-0.82177734375,
5.765625,
-0.7177734375
] |
|
7horse
| [
-0.712890625,
-0.8125,
-0.697265625,
-0.4228515625,
-0.351318359375,
-0.11151123046875,
-0.9326171875,
5.90625,
-1.103515625,
-0.60498046875
] |
|
5dog
| [
-0.9169921875,
-0.86376953125,
-0.61962890625,
-0.1820068359375,
-0.68701171875,
5.59375,
-0.90185546875,
-0.5810546875,
-0.88134765625,
-0.9775390625
] |
|
9truck
| [
-0.281982421875,
0.56640625,
-0.802734375,
-0.489990234375,
-0.55517578125,
-1.0439453125,
-1.125,
-0.6845703125,
-0.2177734375,
5.828125
] |
|
1automobile
| [
-0.70166015625,
5.93359375,
-1.0537109375,
-0.93896484375,
-0.94775390625,
-0.97265625,
-0.82080078125,
-0.83642578125,
-0.487060546875,
0.90625
] |
|
3cat
| [
-0.4931640625,
-1.17578125,
-0.271240234375,
4.3046875,
-0.434326171875,
1.1162109375,
-0.51318359375,
-1.2353515625,
-0.8369140625,
-0.74658203125
] |
|
4deer
| [
-0.7734375,
-0.7216796875,
-0.75146484375,
-0.460205078125,
5.92578125,
-0.220947265625,
-0.382568359375,
-0.403076171875,
-0.81640625,
-0.732421875
] |
|
2bird
| [
-0.438232421875,
-0.81396484375,
5.81640625,
-0.5703125,
-0.845703125,
-0.77587890625,
-0.1636962890625,
-0.6953125,
-0.79345703125,
-0.7646484375
] |
|
6frog
| [
-0.9189453125,
-1.3232421875,
-0.308837890625,
5.078125,
-0.50048828125,
0.13427734375,
0.84033203125,
-1.154296875,
-0.85888671875,
-1.052734375
] |
|
9truck
| [
-0.356689453125,
-0.0679931640625,
-0.7490234375,
-0.626953125,
-0.333984375,
-0.8427734375,
-0.75537109375,
-0.59814453125,
-0.4931640625,
6.01953125
] |
|
2bird
| [
-0.45263671875,
-0.9931640625,
5.6953125,
-0.52880859375,
-0.0023899078369140625,
-0.9326171875,
-0.73828125,
-0.67431640625,
-0.6142578125,
-0.91455078125
] |
|
7horse
| [
-0.60400390625,
-0.77001953125,
-0.5634765625,
-0.7451171875,
-0.4794921875,
-0.314453125,
-0.68505859375,
6.0234375,
-0.912109375,
-0.75927734375
] |
|
1automobile
| [
-0.1424560546875,
5.1953125,
-1.029296875,
-0.51220703125,
-1.0029296875,
-0.9326171875,
-0.0699462890625,
-1.3037109375,
-0.35595703125,
0.44384765625
] |
|
7horse
| [
-0.57080078125,
-0.71826171875,
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|
8ship
| [
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|
0airplane
| [
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|
1automobile
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|
3cat
| [
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| [
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|
7horse
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|
5dog
| [
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|
2bird
| [
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|
0airplane
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|
0airplane
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|
2bird
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|
4deer
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|
9truck
| [
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|
2bird
| [
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|
0airplane
| [
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|
4deer
| [
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|
6frog
| [
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|
1automobile
| [
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|
3cat
| [
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|
4deer
| [
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|
6frog
| [
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-0.6171875,
-0.75,
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|
7horse
| [
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-0.50244140625,
-0.9443359375,
6.05078125,
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-0.69140625
] |
|
4deer
| [
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|
9truck
| [
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6.01953125
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|
3cat
| [
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0.654296875,
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|
3cat
| [
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|
5dog
| [
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5.15625,
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|
6frog
| [
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6.05859375,
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] |
|
4deer
| [
-1.166015625,
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5.69921875,
0.14306640625,
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0.75244140625,
-1.0869140625,
-0.85888671875
] |
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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: tanlq/vit-base-patch16-224-in21k-finetuned-cifar10
- 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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