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Update regression test config (#2186)
* update cls * update seg * fix typo
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‎tests/regression/regression_config.json‎

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@@ -212,7 +212,7 @@
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"pot": {
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"EfficientNet-V2-S": 0.711,
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"MobileNet-V3-large-1x": 0.692,
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"EfficientNet-B0": 0.808
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"EfficientNet-B0": 0.725
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}
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},
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"multi_label": {
@@ -244,29 +244,29 @@
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},
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"h_label": {
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"train": {
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"EfficientNet-V2-S": 0.714,
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"MobileNet-V3-large-1x": 0.647,
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"EfficientNet-B0": 0.742
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"EfficientNet-V2-S": 0.602,
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"MobileNet-V3-large-1x": 0.547,
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"EfficientNet-B0": 0.636
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},
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"export": {
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"EfficientNet-V2-S": 0.714,
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"MobileNet-V3-large-1x": 0.647,
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"EfficientNet-B0": 0.742
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"EfficientNet-V2-S": 0.602,
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"MobileNet-V3-large-1x": 0.547,
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"EfficientNet-B0": 0.636
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},
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"deploy": {
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"EfficientNet-V2-S": 0.714,
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"MobileNet-V3-large-1x": 0.647,
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"EfficientNet-B0": 0.742
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"EfficientNet-V2-S": 0.602,
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"MobileNet-V3-large-1x": 0.547,
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"EfficientNet-B0": 0.636
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},
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"nncf": {
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"EfficientNet-V2-S": 0.731,
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"EfficientNet-V2-S": 0.594,
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"MobileNet-V3-large-1x": 0.622,
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"EfficientNet-B0": 0.758
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"EfficientNet-B0": 0.638
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},
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"pot": {
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"EfficientNet-V2-S": 0.653,
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"MobileNet-V3-large-1x": 0.633,
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"EfficientNet-B0": 0.739
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"EfficientNet-V2-S": 0.577,
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"MobileNet-V3-large-1x": 0.472,
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"EfficientNet-B0": 0.605
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}
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},
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"supcon": {
@@ -401,33 +401,33 @@
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"supervised": {
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"multi_class": {
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"train": {
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"Lite-HRNet-s-mod2": 0.787,
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"Lite-HRNet-18-mod2": 0.808,
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"Lite-HRNet-s-mod2": 0.636,
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"Lite-HRNet-18-mod2": 0.692,
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"Lite-HRNet-18": 0.801,
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"Lite-HRNet-x-mod3": 0.795
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"Lite-HRNet-x-mod3": 0.693
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},
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"export": {
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"Lite-HRNet-s-mod2": 0.786,
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"Lite-HRNet-18-mod2": 0.808,
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"Lite-HRNet-s-mod2": 0.636,
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"Lite-HRNet-18-mod2": 0.691,
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"Lite-HRNet-18": 0.8,
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"Lite-HRNet-x-mod3": 0.795
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"Lite-HRNet-x-mod3": 0.692
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},
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"deploy": {
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"Lite-HRNet-s-mod2": 0.786,
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"Lite-HRNet-18-mod2": 0.808,
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"Lite-HRNet-s-mod2": 0.636,
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"Lite-HRNet-18-mod2": 0.691,
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"Lite-HRNet-18": 0.8,
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"Lite-HRNet-x-mod3": 0.795
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"Lite-HRNet-x-mod3": 0.692
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},
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"nncf": {
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"Lite-HRNet-s-mod2": 0.787,
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"Lite-HRNet-18-mod2": 0.8,
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"Lite-HRNet-s-mod2": 0.678,
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"Lite-HRNet-18-mod2": 0.707,
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"Lite-HRNet-18": 0.79,
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"Lite-HRNet-x-mod3": 0.779
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"Lite-HRNet-x-mod3": 0.668
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},
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"pot": {
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"Lite-HRNet-s-mod2": 0.725,
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"Lite-HRNet-18-mod2": 0.087,
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"Lite-HRNet-18": 0.302,
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"Lite-HRNet-18-mod2": 0.269,
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"Lite-HRNet-18": 0.115,
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"Lite-HRNet-x-mod3": 0.041
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}
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},
@@ -443,19 +443,19 @@
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"class_incr": {
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"multi_class": {
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"train": {
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"Lite-HRNet-s-mod2": 0.792,
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"Lite-HRNet-s-mod2": 0.660,
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"Lite-HRNet-18-mod2": 0.768,
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"Lite-HRNet-18": 0.795,
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"Lite-HRNet-x-mod3": 0.805
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"Lite-HRNet-18": 0.669,
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"Lite-HRNet-x-mod3": 0.712
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}
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}
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},
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"semi_supervised": {
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"multi_class": {
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"train": {
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"Lite-HRNet-s-mod2": 0.818,
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"Lite-HRNet-18-mod2": 0.837,
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"Lite-HRNet-18": 0.833,
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"Lite-HRNet-s-mod2": 0.681,
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"Lite-HRNet-18-mod2": 0.696,
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"Lite-HRNet-18": 0.742,
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"Lite-HRNet-x-mod3": 0.802
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}
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}
@@ -1498,46 +1498,46 @@
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"supervised": {
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"multi_class": {
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"train": {
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"EfficientNet-V2-S": 93.257,
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"EfficientNet-V2-S": 141.137,
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"MobileNet-V3-large-1x": 72.732,
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"EfficientNet-B0": 70.02
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"EfficientNet-B0": 82.521
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}
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},
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"multi_label": {
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"train": {
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"EfficientNet-V2-S": 163.202,
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"MobileNet-V3-large-1x": 148.559,
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"EfficientNet-B0": 144.651
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"EfficientNet-V2-S": 214.508,
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"MobileNet-V3-large-1x": 185.442,
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"EfficientNet-B0": 187.332
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}
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},
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"h_label": {
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"train": {
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"EfficientNet-V2-S": 92.564,
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"EfficientNet-V2-S": 149.627,
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"MobileNet-V3-large-1x": 76.041,
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"EfficientNet-B0": 73.195
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"EfficientNet-B0": 87.159
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}
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},
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"supcon": {
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"train": {
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"EfficientNet-V2-S": 122.369,
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"MobileNet-V3-large-1x": 115.94,
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"EfficientNet-B0": 105.109
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"EfficientNet-V2-S": 136.036,
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"MobileNet-V3-large-1x": 134.635,
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"EfficientNet-B0": 124.474
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}
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}
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},
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"class_incr": {
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"multi_class": {
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"train": {
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"EfficientNet-V2-S": 106.703,
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"EfficientNet-V2-S": 141.137,
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"MobileNet-V3-large-1x": 80.603,
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"EfficientNet-B0": 74.543
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"EfficientNet-B0": 82.521
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}
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},
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"multi_label": {
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"train": {
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"EfficientNet-V2-S": 179.346,
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"MobileNet-V3-large-1x": 163.404,
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"EfficientNet-B0": 163.371
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"EfficientNet-V2-S": 214.508,
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"MobileNet-V3-large-1x": 185.442,
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"EfficientNet-B0": 187.332
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}
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},
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"h_label": {
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"self_supervised": {
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"multi_class": {
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"train": {
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"EfficientNet-V2-S": 34.063,
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"MobileNet-V3-large-1x": 27.925,
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"EfficientNet-B0": 27.623
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"EfficientNet-V2-S": 141.137,
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"MobileNet-V3-large-1x": 72.239,
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"EfficientNet-B0": 82.521
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}
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}
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}

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