Search is not available for this dataset
image
imagewidth (px)
82
5.15k
target
class label
3 classes
evaluation_predictions
sequencelengths
3
3
0chicken
[ 0.32470703125, -0.456787109375, 0.0869140625 ]
1dog
[ -0.286865234375, 0.11968994140625, -0.0287628173828125 ]
2muffin
[ 0.11279296875, -0.1314697265625, 0.0211029052734375 ]
2muffin
[ -0.13232421875, -0.427490234375, 0.1239013671875 ]
0chicken
[ 0.409912109375, -0.300537109375, 0.0526123046875 ]
1dog
[ -0.087646484375, 0.40673828125, 0.05462646484375 ]
2muffin
[ 0.1129150390625, -0.1837158203125, -0.366943359375 ]
0chicken
[ -0.033233642578125, -0.35400390625, -0.0780029296875 ]
2muffin
[ -0.058807373046875, -0.0367431640625, 0.06585693359375 ]
2muffin
[ -0.258056640625, -0.2802734375, 0.1376953125 ]
2muffin
[ 0.178955078125, -0.2215576171875, 0.1767578125 ]
2muffin
[ -0.1898193359375, 0.0066070556640625, 0.04461669921875 ]
0chicken
[ 0.27734375, -0.394287109375, -0.0108489990234375 ]
0chicken
[ 0.216796875, -0.206787109375, 0.11358642578125 ]
2muffin
[ -0.020294189453125, 0.0869140625, -0.247314453125 ]
2muffin
[ 0.52392578125, -0.2359619140625, 0.0115814208984375 ]
0chicken
[ -0.105712890625, -0.450927734375, 0.0582275390625 ]
0chicken
[ 0.39013671875, -0.435546875, 0.04376220703125 ]
2muffin
[ 0.27734375, -0.371337890625, 0.0280609130859375 ]
1dog
[ -0.0789794921875, 0.264892578125, -0.0132598876953125 ]
1dog
[ -0.12109375, 0.2357177734375, -0.056640625 ]
2muffin
[ 0.4130859375, -0.280029296875, 0.1728515625 ]
2muffin
[ 0.29296875, -0.06402587890625, 0.06298828125 ]
1dog
[ -0.1513671875, 0.14013671875, -0.09149169921875 ]
2muffin
[ 0.1907958984375, -0.178466796875, 0.0033416748046875 ]
2muffin
[ 0.208740234375, -0.1414794921875, -0.0787353515625 ]
0chicken
[ 0.389404296875, -0.31982421875, 0.1749267578125 ]
1dog
[ -0.197265625, 0.1524658203125, -0.10888671875 ]
2muffin
[ 0.210205078125, -0.1605224609375, 0.1727294921875 ]
1dog
[ -0.073974609375, 0.29638671875, -0.03448486328125 ]
0chicken
[ 0.357177734375, -0.302001953125, -0.0134124755859375 ]
0chicken
[ -0.020233154296875, -0.28466796875, 0.1185302734375 ]
1dog
[ -0.025726318359375, 0.1251220703125, 0.05853271484375 ]
0chicken
[ 0.22607421875, -0.32568359375, -0.103759765625 ]
0chicken
[ -0.01763916015625, -0.2181396484375, -0.28369140625 ]
1dog
[ -0.1790771484375, 0.29248046875, 0.107177734375 ]
0chicken
[ 0.330810546875, -0.3076171875, 0.0950927734375 ]
1dog
[ -0.173828125, 0.2015380859375, 0.06268310546875 ]
1dog
[ -0.1695556640625, 0.0819091796875, -0.031982421875 ]
0chicken
[ 0.428955078125, -0.161865234375, -0.244873046875 ]
1dog
[ -0.0985107421875, 0.1195068359375, -0.0159149169921875 ]
0chicken
[ 0.71923828125, -0.354248046875, -0.3515625 ]
0chicken
[ 0.132568359375, -0.049072265625, -0.1630859375 ]
2muffin
[ 0.038726806640625, -0.368408203125, -0.1485595703125 ]
2muffin
[ 0.1326904296875, -0.259521484375, 0.1502685546875 ]
2muffin
[ 0.0811767578125, -0.22314453125, 0.01302337646484375 ]
1dog
[ -0.0699462890625, 0.2081298828125, -0.1773681640625 ]
2muffin
[ 0.160400390625, -0.03326416015625, -0.1351318359375 ]
2muffin
[ -0.057037353515625, -0.207275390625, 0.1942138671875 ]
1dog
[ -0.31005859375, 0.212646484375, 0.15234375 ]
2muffin
[ 0.06683349609375, -0.259765625, 0.132568359375 ]
1dog
[ -0.1666259765625, 0.4072265625, 0.09454345703125 ]
1dog
[ -0.3076171875, 0.47265625, 0.0214691162109375 ]
1dog
[ 0.26904296875, 0.1270751953125, -0.237548828125 ]
0chicken
[ 0.32177734375, -0.322998046875, -0.1326904296875 ]
2muffin
[ 0.031341552734375, -0.34716796875, -0.03485107421875 ]
0chicken
[ 0.272705078125, -0.27685546875, 0.11395263671875 ]
2muffin
[ -0.039215087890625, -0.04180908203125, 0.0369873046875 ]
0chicken
[ 0.31884765625, -0.2744140625, -0.115478515625 ]
1dog
[ -0.233642578125, 0.11968994140625, 0.0628662109375 ]
1dog
[ -0.1982421875, 0.1397705078125, -0.06695556640625 ]
2muffin
[ 0.082763671875, -0.560546875, 0.435791015625 ]
0chicken
[ 0.36767578125, -0.3017578125, -0.0214691162109375 ]
1dog
[ -0.1497802734375, 0.07086181640625, 0.06207275390625 ]
2muffin
[ 0.06292724609375, -0.275390625, 0.0484619140625 ]
1dog
[ -0.1123046875, 0.5595703125, -0.17919921875 ]
0chicken
[ 0.14208984375, -0.310546875, -0.1790771484375 ]
0chicken
[ 0.442626953125, -0.1953125, -0.385986328125 ]
1dog
[ -0.27099609375, 0.40185546875, -0.1248779296875 ]
1dog
[ -0.0914306640625, 0.256103515625, 0.1319580078125 ]
0chicken
[ 0.32421875, -0.4609375, -0.06732177734375 ]
1dog
[ -0.195068359375, 0.1334228515625, 0.0445556640625 ]
2muffin
[ 0.039947509765625, -0.2457275390625, 0.087890625 ]
2muffin
[ -0.0030364990234375, -0.31640625, -0.1427001953125 ]
1dog
[ -0.289794921875, 0.09124755859375, 0.06072998046875 ]
2muffin
[ 0.1611328125, -0.224853515625, -0.0303497314453125 ]
2muffin
[ -0.004058837890625, -0.280517578125, 0.07537841796875 ]
2muffin
[ -0.048065185546875, -0.296875, 0.08270263671875 ]
1dog
[ -0.20166015625, 0.09344482421875, -0.1204833984375 ]
1dog
[ -0.2080078125, 0.164794921875, 0.0102386474609375 ]
1dog
[ -0.1173095703125, 0.259033203125, 0.096435546875 ]
2muffin
[ 0.051605224609375, -0.250732421875, 0.0212249755859375 ]
2muffin
[ -0.02337646484375, -0.2354736328125, -0.0160675048828125 ]
1dog
[ -0.13671875, 0.28076171875, -0.0390625 ]
2muffin
[ 0.187744140625, -0.140380859375, -0.0799560546875 ]
2muffin
[ 0.14013671875, -0.2103271484375, -0.1328125 ]
1dog
[ 0.1409912109375, 0.1231689453125, -0.1114501953125 ]
2muffin
[ 0.15966796875, -0.09368896484375, 0.05096435546875 ]
0chicken
[ 0.331298828125, -0.55029296875, -0.102294921875 ]
2muffin
[ 0.155029296875, -0.09686279296875, 0.07305908203125 ]
2muffin
[ 0.16748046875, -0.28271484375, 0.228759765625 ]
2muffin
[ 0.037689208984375, -0.1424560546875, 0.05792236328125 ]
2muffin
[ -0.1175537109375, -0.2432861328125, 0.235107421875 ]
2muffin
[ 0.0830078125, -0.3310546875, 0.11474609375 ]
2muffin
[ 0.078369140625, -0.2174072265625, 0.0426025390625 ]
2muffin
[ 0.1348876953125, -0.180908203125, -0.0811767578125 ]
2muffin
[ 0.0579833984375, -0.14599609375, -0.0282745361328125 ]
0chicken
[ 0.289306640625, -0.40185546875, -0.203857421875 ]
2muffin
[ 0.045867919921875, -0.053466796875, 0.010528564453125 ]
1dog
[ -0.0975341796875, 0.0142364501953125, 0.1092529296875 ]

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: abhishek/convnext-tiny-finetuned-dogfood
  • Dataset: lewtun/dog_food

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

Contributions

Thanks to @haesun for evaluating this model.

Downloads last month
54
Edit dataset card