Data source: ImageNet
Image resolution: 709 x 510
Model | Parameters | Python API | C++ API |
---|---|---|---|
bvlcalexnet-12-int8 | - | 0.8899751 Granny Smith 0.0441435 tennis ball 0.0267577 candle, taper, wax light 0.0070415 acorn 0.0042682 bell pepper |
0.8899750 Granny Smith 0.0441430 tennis ball 0.0267580 candle, taper, wax light 0.0070420 acorn 0.0042680 bell pepper |
bvlcalexnet-12 | - | 0.9329873 Granny Smith 0.0119356 piggy bank, penny bank 0.0090127 bell pepper 0.0076560 candle, taper, wax light 0.0072363 saltshaker, salt shaker |
0.9329360 Granny Smith 0.0119510 piggy bank, penny bank 0.0090170 bell pepper 0.0076610 candle, taper, wax light 0.0072430 saltshaker, salt shaker |
caffenet-12.onnx | - | 0.8064530 Granny Smith 0.0857176 candle, taper, wax light 0.0173121 teapot 0.0110415 tennis ball 0.0087363 saltshaker, salt shaker |
0.8064510 Granny Smith 0.0857160 candle, taper, wax light 0.0173170 teapot 0.0110340 tennis ball 0.0087340 saltshaker, salt shaker |
densenet-12.onnx | C++ API Mean values: [0.485,0.456,0.406] C++ API Scale values: [0.229,0.224,0.225] Python API Mean values: [103.53,116.28,123.675] Python API Scale values: [57.375,57.12,58.395] |
16.0255108 Granny Smith 10.2132721 lemon 9.4883041 orange 8.7373285 banana 7.2115321 tennis ball |
16.0254840 Granny Smith 10.2133060 lemon 9.4883380 orange 8.7370200 banana 7.2113640 tennis ball |
densenet-12-int8.onnx | C++ API Mean values: [0.485,0.456,0.406] C++ API Scale values: [0.229,0.224,0.225] Python API Mean values: [103.53,116.28,123.675] Python API Scale values: [57.375,57.12,58.395] |
15.0996475 Granny Smith 9.5720987 lemon 9.0328255 orange 7.9542789 banana 7.5498238 tennis ball |
14.8300110 Granny Smith 9.5720990 lemon 9.0328250 orange 8.0890970 banana 7.4150060 tennis ball |
efficientnet-lite4-11-int8.onnx | Mean values: [0.49,0.49,0.49] Scale values: [0.50,0.50,0.50] |
- | - |
googlenet-12.onnx | - | 0.9976683 Granny Smith 0.0008832 bell pepper 0.0007543 candle, taper, wax light 0.0001105 tennis ball 0.0000761 cucumber, cuke |
0.9976690 Granny Smith 0.0008830 bell pepper 0.0007540 candle, taper, wax light 0.0001100 tennis ball 0.0000760 cucumber, cuke |
googlenet-12-int8.onnx | - | 0.9949932 Granny Smith 0.0017736 bell pepper 0.0014362 candle, taper, wax light 0.0005001 tennis ball 0.0002150 fig |
0.9949930 Granny Smith 0.0017740 bell pepper 0.0014360 candle, taper, wax light 0.0005000 tennis ball 0.0002150 fig |
inception-v1-12.onnx | - | 0.9996700 Granny Smith 0.0001812 bell pepper 0.0001091 candle, taper, wax light 0.0000101 tennis ball 0.0000047 cucumber, cuke |
0.9996700 Granny Smith 0.0001810 bell pepper 0.0001090 candle, taper, wax light 0.0000100 tennis ball 0.0000050 cucumber, cuke |
inception-v1-12-int8.onnx | - | 0.8926284 tennis ball 0.0474487 jackfruit, jak, jack 0.0252182 green snake, grass snake 0.0102912 window screen 0.0079413 green mamba |
0.8926280 tennis ball 0.0474490 jackfruit, jak, jack 0.0252180 green snake, grass snake 0.0102910 window screen 0.0079410 green mamba |
mobilenetv2-12.onnx | C++ API Mean values: [0.485,0.456,0.406] C++ API Scale values: [0.229,0.224,0.225] Python API Mean values: [103.53,116.28,123.675] Python API Scale values: [57.375,57.12,58.395] |
10.8561335 Granny Smith 8.7075806 saltshaker, salt shaker 8.3313656 pitcher, ewer 7.9597650 lemon 7.9161777 candle, taper, wax light |
10.8574780 Granny Smith 8.7076850 saltshaker, salt shaker 8.3306200 pitcher, ewer 7.9602580 lemon 7.9155480 candle, taper, wax light |
mobilenetv2-12-int8.onnx | C++ API Mean values: [0.485,0.456,0.406] C++ API Scale values: [0.229,0.224,0.225] Python API Mean values: [103.53,116.28,123.675] Python API Scale values: [57.375,57.12,58.395] |
11.3702650 Granny Smith 9.7688198 pitcher, ewer 9.6086750 safety pin 9.2883854 saltshaker, salt shaker 8.1673737 water jug |
11.0499760 Granny Smith 9.9289640 pitcher, ewer 9.6086750 saltshaker, salt shaker 8.6478070 water jug 8.4876630 perfume, essence |
resnet152-v1-7.onnx | C++ API Mean values: [0.485,0.456,0.406] C++ API Scale values: [0.229,0.224,0.225] Python API Mean values: [103.53,116.28,123.675] Python API Scale values: [57.375,57.12,58.395] |
12.5228510 Granny Smith 8.3775253 candle, taper, wax light 7.8244634 piggy bank, penny bank 6.2111158 teapot 6.0321965 saltshaker, salt shaker |
12.5226540 Granny Smith 8.3779800 candle, taper, wax light 7.8244630 piggy bank, penny bank 6.2110510 teapot 6.0325470 saltshaker, salt shaker |
shufflenet-v2-12.onnx | C++ API Mean values: [0.485,0.456,0.406] C++ API Scale values: [0.229,0.224,0.225] Python API Mean values: [103.53,116.28,123.675] Python API Scale values: [57.375,57.12,58.395] |
7.6013007 Granny Smith 6.4219503 safety pin 5.1115103 hair slide 4.9012079 necklace 4.8272524 warplane, military plane |
7.6021260 Granny Smith 6.4221840 safety pin 5.1119440 hair slide 4.9008980 necklace 4.8272350 warplane, military plane |
shufflenet-v2-12-int8.onnx | C++ API Mean values: [0.485,0.456,0.406] C++ API Scale values: [0.229,0.224,0.225] Python API Mean values: [103.53,116.28,123.675] Python API Scale values: [57.375,57.12,58.395] |
8.9648008 Granny Smith 7.5856004 clog, geta, patten, sabot 7.0684004 safety pin 7.0684004 perfume, essence 6.8960004 hair slide |
9.1372000 Granny Smith 7.5856000 clog, geta, patten, sabot 7.0684000 perfume, essence 7.0684000 safety pin 6.7236000 hair slide |
squeezenet1.0-12.onnx | - | 0.9965848 Granny Smith 0.0030983 tennis ball 0.0000704 golf ball 0.0000698 piggy bank, penny bank 0.0000490 lemon |
0.9965860 Granny Smith 0.0030970 tennis ball 0.0000700 golf ball 0.0000700 piggy bank, penny bank 0.0000490 lemon |
squeezenet1.0-12-int8.onnx | - | 0.9109898 Granny Smith 0.0813720 tennis ball 0.0019796 custard apple 0.0007818 candle, taper, wax light 0.0005391 fig |
0.9109900 Granny Smith 0.0813720 tennis ball 0.0019800 custard apple 0.0007820 candle, taper, wax light 0.0005390 fig |
vgg16-12.onnx | C++ API Mean values: [0.485,0.456,0.406] C++ API Scale values: [0.229,0.224,0.225] Python API Mean values: [103.53,116.28,123.675] Python API Scale values: [57.375,57.12,58.395] |
15.1150732 Granny Smith 10.4414310 tennis ball 9.4180956 teapot 9.2858591 piggy bank, penny bank 9.1118135 maraca |
15.1146370 Granny Smith 10.4413560 tennis ball 9.4173870 teapot 9.2855840 piggy bank, penny bank 9.1120450 maraca |
vgg16-12-int8.onnx | C++ API Mean values: [0.485,0.456,0.406] C++ API Scale values: [0.229,0.224,0.225] Python API Mean values: [103.53,116.28,123.675] Python API Scale values: [57.375,57.12,58.395] |
15.2753048 Granny Smith 11.9095602 tennis ball 11.3917532 pool table, billiard table, snooker table 9.8383322 piggy bank, penny bank 9.3205252 whistle |
15.2753050 Granny Smith 11.6506570 tennis ball 11.3917530 pool table, billiard table, snooker table 9.8383320 piggy bank, penny bank 9.3205250 dumbbell |
zfnet512-12.onnx | - | 0.5184174 Granny Smith 0.0732687 tennis ball 0.0492666 fig 0.0477042 acorn 0.0382879 bell pepper |
0.5184130 Granny Smith 0.0732610 tennis ball 0.0492710 fig 0.0477190 acorn 0.0382910 bell pepper |
zfnet512-12-int8.onnx | - | 0.5369057 Granny Smith 0.1253411 tennis ball 0.0496634 jackfruit, jak, jack 0.0333984 fig 0.0333984 lemon |
0.5369060 Granny Smith 0.1253410 tennis ball 0.0496630 jackfruit, jak, jack 0.0333980 fig 0.0333980 lemon |
Data source: ImageNet
Image resolution: 500 x 500
Model | Parameters | Python API | C++ API |
---|---|---|---|
bvlcalexnet-12-int8 | - | 0.4290770 junco, snowbird 0.0684437 necklace 0.0490217 chickadee 0.0351109 barn spider, Araneus cavaticus 0.0251476 weevil |
0.4290770 junco, snowbird 0.0684440 necklace 0.0490220 chickadee 0.0351110 barn spider, Araneus cavaticus 0.0251480 weevil |
bvlcalexnet-12 | - | 0.9254803 junco, snowbird 0.0660609 chickadee 0.0045172 brambling, Fringilla montifringilla 0.0010812 water ouzel, dipper 0.0005364 bulbul |
0.9254800 junco, snowbird 0.0660610 chickadee 0.0045170 brambling, Fringilla montifringilla 0.0010810 water ouzel, dipper 0.0005360 bulbul |
caffenet-12.onnx | - | 0.9648485 junco, snowbird 0.0329766 chickadee 0.0008094 brambling, Fringilla montifringilla 0.0002956 house finch, linnet, Carpodacus mexicanus 0.0001931 bulbul |
0.9648490 junco, snowbird 0.0329770 chickadee 0.0008090 brambling, Fringilla montifringilla 0.0002960 house finch, linnet, Carpodacus mexicanus 0.0001930 bulbul |
densenet-12.onnx | C++ API Mean values: [0.485,0.456,0.406] C++ API Scale values: [0.229,0.224,0.225] Python API Mean values: [103.53,116.28,123.675] Python API Scale values: [57.375,57.12,58.395] |
17.7405853 junco, snowbird 11.3523722 brambling, Fringilla montifringilla 11.2178583 indigo bunting, indigo finch, indigo bird, Passerina cyanea 10.1103678 chickadee 8.1522255 magpie |
17.7405830 junco, snowbird 11.3523720 brambling, Fringilla montifringilla 11.2178600 indigo bunting, indigo finch, indigo bird, Passerina cyanea 10.1103700 chickadee 8.1522250 magpie |
densenet-12-int8.onnx | C++ API Mean values: [0.485,0.456,0.406] C++ API Scale values: [0.229,0.224,0.225] Python API Mean values: [103.53,116.28,123.675] Python API Scale values: [57.375,57.12,58.395] |
17.2567406 junco, snowbird 11.0550995 indigo bunting, indigo finch, indigo bird, Passerina cyanea 10.5158262 brambling, Fringilla montifringilla 9.7069168 chickadee 8.3587341 magpie |
17.2567410 junco, snowbird 11.0550990 indigo bunting, indigo finch, indigo bird, Passerina cyanea 10.5158260 brambling, Fringilla montifringilla 9.7069170 chickadee 8.3587340 magpie |
efficientnet-lite4-11-int8.onnx | Mean values: [0.49,0.49,0.49] Scale values: [0.50,0.50,0.50] |
- | - |
googlenet-12.onnx | - | 0.9999763 junco, snowbird 0.0000186 chickadee 0.0000017 brambling, Fringilla montifringilla 0.0000014 water ouzel, dipper 0.0000013 house finch, linnet, Carpodacus mexicanus |
0.9999760 junco, snowbird 0.0000190 chickadee 0.0000020 brambling, Fringilla montifringilla 0.0000010 water ouzel, dipper 0.0000010 house finch, linnet, Carpodacus mexicanus |
googlenet-12-int8.onnx | - | 0.9979578 junco, snowbird 0.0009446 house finch, linnet, Carpodacus mexicanus 0.0005016 chickadee 0.0004062 indigo bunting, indigo finch, indigo bird, Passerina cyanea 0.0000492 brambling, Fringilla montifringilla |
0.9979580 junco, snowbird 0.0009450 house finch, linnet, Carpodacus mexicanus 0.0005020 chickadee 0.0004060 indigo bunting, indigo finch, indigo bird, Passerina cyanea 0.0000490 brambling, Fringilla montifringilla |
inception-v1-12.onnx | - | 0.9999988 junco, snowbird 0.0000010 chickadee 0.0000001 brambling, Fringilla montifringilla 0.0000001 house finch, linnet, Carpodacus mexicanus 0.0000000 water ouzel, dipper |
0.9999990 junco, snowbird 0.0000010 chickadee 0.0000000 toilet tissue, toilet paper, bathroom tissue 0.0000000 porcupine, hedgehog 0.0000000 wood rabbit, cottontail, cottontail rabbit |
inception-v1-12-int8.onnx | - | 0.9290988 window screen 0.0457429 fire screen, fireguard 0.0085141 mosquito net 0.0079082 shower curtain 0.0009574 electric fan, blower |
0.9290990 window screen 0.0457430 fire screen, fireguard 0.0085140 mosquito net 0.0079080 shower curtain 0.0009570 electric fan, blower |
mobilenetv2-12.onnx | C++ API Mean values: [0.485,0.456,0.406] C++ API Scale values: [0.229,0.224,0.225] Python API Mean values: [103.53,116.28,123.675] Python API Scale values: [57.375,57.12,58.395] |
24.7887650 junco, snowbird 16.3343277 brambling, Fringilla montifringilla 15.2105579 water ouzel, dipper 15.0277386 chickadee 14.4992104 goldfinch, Carduelis carduelis |
24.7887670 junco, snowbird 16.3343320 brambling, Fringilla montifringilla 15.2105620 water ouzel, dipper 15.0277400 chickadee 14.4992170 goldfinch, Carduelis carduelis |
mobilenetv2-12-int8.onnx | C++ API Mean values: [0.485,0.456,0.406] C++ API Scale values: [0.229,0.224,0.225] Python API Mean values: [103.53,116.28,123.675] Python API Scale values: [57.375,57.12,58.395] |
19.6977844 junco, snowbird 14.0927229 brambling, Fringilla montifringilla 12.0108433 water ouzel, dipper 11.8506994 chickadee 11.3702650 house finch, linnet, Carpodacus mexicanus |
19.6977840 junco, snowbird 14.0927230 brambling, Fringilla montifringilla 12.0108430 water ouzel, dipper 11.8506990 chickadee 11.3702650 house finch, linnet, Carpodacus mexicanus |
resnet152-v1-7.onnx | C++ API Mean values: [0.485,0.456,0.406] C++ API Scale values: [0.229,0.224,0.225] Python API Mean values: [103.53,116.28,123.675] Python API Scale values: [57.375,57.12,58.395] |
16.8624897 junco, snowbird 12.2944298 brambling, Fringilla montifringilla 10.5348196 water ouzel, dipper 9.7871933 goldfinch, Carduelis carduelis 9.5141163 chickadee |
16.8624920 junco, snowbird 12.2944310 brambling, Fringilla montifringilla 10.5348200 water ouzel, dipper 9.7871940 goldfinch, Carduelis carduelis 9.5141170 chickadee |
shufflenet-v2-12.onnx | C++ API Mean values: [0.485,0.456,0.406] C++ API Scale values: [0.229,0.224,0.225] Python API Mean values: [103.53,116.28,123.675] Python API Scale values: [57.375,57.12,58.395] |
20.3064499 junco, snowbird 11.5488453 damselfly 9.6360016 dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk 9.2243061 water ouzel, dipper 9.1981525 chickadee |
20.3064540 junco, snowbird 11.5488470 damselfly 9.6360020 dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk 9.2243100 water ouzel, dipper 9.1981570 chickadee |
shufflenet-v2-12-int8.onnx | C++ API Mean values: [0.485,0.456,0.406] C++ API Scale values: [0.229,0.224,0.225] Python API Mean values: [103.53,116.28,123.675] Python API Scale values: [57.375,57.12,58.395] |
16.7228012 junco, snowbird 10.8612003 damselfly 9.1372004 dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk 8.4476004 macaque 8.2752008 goldfinch, Carduelis carduelis |
16.7228010 junco, snowbird 10.8612000 damselfly 9.1372000 dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk 8.4476000 macaque 8.2752010 goldfinch, Carduelis carduelis |
squeezenet1.0-12.onnx | - | 0.8807445 junco, snowbird 0.1190359 chickadee 0.0000988 brambling, Fringilla montifringilla 0.0000509 goldfinch, Carduelis carduelis 0.0000275 indigo bunting, indigo finch, indigo bird, Passerina cyanea |
0.8807450 junco, snowbird 0.1190360 chickadee 0.0000990 brambling, Fringilla montifringilla 0.0000510 goldfinch, Carduelis carduelis 0.0000280 indigo bunting, indigo finch, indigo bird, Passerina cyanea |
squeezenet1.0-12-int8.onnx | - | 0.6191203 chickadee 0.3545598 junco, snowbird 0.0086255 quail 0.0071629 indigo bunting, indigo finch, indigo bird, Passerina cyanea 0.0041021 ruffed grouse, partridge, Bonasa umbellus |
0.6191200 chickadee 0.3545600 junco, snowbird 0.0086250 quail 0.0071630 indigo bunting, indigo finch, indigo bird, Passerina cyanea 0.0041020 ruffed grouse, partridge, Bonasa umbellus |
vgg16-12.onnx | C++ API Mean values: [0.485,0.456,0.406] C++ API Scale values: [0.229,0.224,0.225] Python API Mean values: [103.53,116.28,123.675] Python API Scale values: [57.375,57.12,58.395] |
32.1235733 junco, snowbird 25.8626442 brambling, Fringilla montifringilla 23.4777050 chickadee 21.5899162 goldfinch, Carduelis carduelis 20.5309525 house finch, linnet, Carpodacus mexicanus |
32.1235730 junco, snowbird 25.8626480 brambling, Fringilla montifringilla 23.4777070 chickadee 21.5899160 goldfinch, Carduelis carduelis 20.5309520 house finch, linnet, Carpodacus mexicanus |
vgg16-12-int8.onnx | C++ API Mean values: [0.485,0.456,0.406] C++ API Scale values: [0.229,0.224,0.225] Python API Mean values: [103.53,116.28,123.675] Python API Scale values: [57.375,57.12,58.395] |
28.7382851 junco, snowbird 24.8547325 brambling, Fringilla montifringilla 21.4889889 chickadee 20.4533749 goldfinch, Carduelis carduelis 19.4177608 house finch, linnet, Carpodacus mexicanus |
28.7382850 junco, snowbird 24.8547330 brambling, Fringilla montifringilla 21.4889890 chickadee 20.4533750 goldfinch, Carduelis carduelis 19.4177610 house finch, linnet, Carpodacus mexicanus |
zfnet512-12.onnx | - | 0.9737679 junco, snowbird 0.0250324 chickadee 0.0008072 brambling, Fringilla montifringilla 0.0000979 house finch, linnet, Carpodacus mexicanus 0.0000937 bulbul |
0.9737680 junco, snowbird 0.0250320 chickadee 0.0008070 brambling, Fringilla montifringilla 0.0000980 house finch, linnet, Carpodacus mexicanus 0.0000940 bulbul |
zfnet512-12-int8.onnx | - | 0.8624269 junco, snowbird 0.1039283 chickadee 0.0073790 brambling, Fringilla montifringilla 0.0022442 bulbul 0.0019662 water ouzel, dipper |
0.8624270 junco, snowbird 0.1039280 chickadee 0.0073790 brambling, Fringilla montifringilla 0.0022440 bulbul 0.0019660 water ouzel, dipper |
Data source: ImageNet
Image resolution: 333 x 500
Model | Parameters | Python API | C++ API |
---|---|---|---|
bvlcalexnet-12-int8 | - | 0.3251408 lifeboat 0.2751684 container ship, containership, container vessel 0.0855635 drilling platform, offshore rig 0.0612834 pirate, pirate ship 0.0518645 liner, ocean liner |
0.3251410 lifeboat 0.2751680 container ship, containership, container vessel 0.0855640 drilling platform, offshore rig 0.0612830 pirate, pirate ship 0.0518640 liner, ocean liner |
bvlcalexnet-12 | - | 0.8644476 lifeboat 0.0432644 container ship, containership, container vessel 0.0229281 beacon, lighthouse, beacon light, pharos 0.0205267 liner, ocean liner 0.0169515 breakwater, groin, groyne, mole, bulwark, seawall, jetty |
0.8644480 lifeboat 0.0432640 container ship, containership, container vessel 0.0229280 beacon, lighthouse, beacon light, pharos 0.0205270 liner, ocean liner 0.0169510 breakwater, groin, groyne, mole, bulwark, seawall, jetty |
caffenet-12.onnx | - | 0.7098512 lifeboat 0.1476296 liner, ocean liner 0.0407189 container ship, containership, container vessel 0.0400669 breakwater, groin, groyne, mole, bulwark, seawall, jetty 0.0132867 beacon, lighthouse, beacon light, pharos |
0.7098510 lifeboat 0.1476300 liner, ocean liner 0.0407190 container ship, containership, container vessel 0.0400670 breakwater, groin, groyne, mole, bulwark, seawall, jetty 0.0132870 beacon, lighthouse, beacon light, pharos |
densenet-12.onnx | C++ API Mean values: [0.485,0.456,0.406] C++ API Scale values: [0.229,0.224,0.225] Python API Mean values: [103.53,116.28,123.675] Python API Scale values: [57.375,57.12,58.395] |
13.9163771 lifeboat 7.7512403 drilling platform, offshore rig 7.6278667 liner, ocean liner 7.5209389 wreck 7.4783006 pirate, pirate ship |
13.9163760 lifeboat 7.7512380 drilling platform, offshore rig 7.6278670 liner, ocean liner 7.5209380 wreck 7.4783010 pirate, pirate ship |
densenet-12-int8.onnx | C++ API Mean values: [0.485,0.456,0.406] C++ API Scale values: [0.229,0.224,0.225] Python API Mean values: [103.53,116.28,123.675] Python API Scale values: [57.375,57.12,58.395] |
13.6166468 lifeboat 7.8194604 pirate, pirate ship 7.8194604 liner, ocean liner 7.8194604 drilling platform, offshore rig 7.5498238 container ship, containership, container vessel |
13.6166470 lifeboat 7.8194600 pirate, pirate ship 7.8194600 liner, ocean liner 7.8194600 drilling platform, offshore rig 7.5498240 container ship, containership, container vessel |
efficientnet-lite4-11-int8.onnx | Mean values: [0.49,0.49,0.49] Scale values: [0.50,0.50,0.50] |
- | - |
googlenet-12.onnx | - | 0.4912072 lifeboat 0.1853297 drilling platform, offshore rig 0.0932138 container ship, containership, container vessel 0.0756839 liner, ocean liner 0.0567756 beacon, lighthouse, beacon light, pharos |
0.4912070 lifeboat 0.1853300 drilling platform, offshore rig 0.0932140 container ship, containership, container vessel 0.0756840 liner, ocean liner 0.0567760 beacon, lighthouse, beacon light, pharos |
googlenet-12-int8.onnx | - | 0.4081365 liner, ocean liner 0.3305016 container ship, containership, container vessel 0.1150835 beacon, lighthouse, beacon light, pharos 0.0611107 drilling platform, offshore rig 0.0212793 lifeboat |
0.4081360 liner, ocean liner 0.3305020 container ship, containership, container vessel 0.1150840 beacon, lighthouse, beacon light, pharos 0.0611110 drilling platform, offshore rig 0.0212790 lifeboat |
inception-v1-12.onnx | - | 0.5498170 lifeboat 0.2570188 drilling platform, offshore rig 0.0660439 container ship, containership, container vessel 0.0549428 liner, ocean liner 0.0401244 beacon, lighthouse, beacon light, pharos |
0.5498170 lifeboat 0.2570190 drilling platform, offshore rig 0.0660440 container ship, containership, container vessel 0.0549430 liner, ocean liner 0.0401240 beacon, lighthouse, beacon light, pharos |
inception-v1-12-int8.onnx | - | 0.9909808 window screen 0.0030000 fire screen, fireguard 0.0010421 centipede 0.0007533 jigsaw puzzle 0.0001842 eft |
0.9909810 window screen 0.0030000 fire screen, fireguard 0.0010420 centipede 0.0007530 jigsaw puzzle 0.0001840 eft |
mobilenetv2-12.onnx | C++ API Mean values: [0.485,0.456,0.406] C++ API Scale values: [0.229,0.224,0.225] Python API Mean values: [103.53,116.28,123.675] Python API Scale values: [57.375,57.12,58.395] |
13.3413105 container ship, containership, container vessel 12.7817993 liner, ocean liner 11.4793739 beacon, lighthouse, beacon light, pharos 11.0030222 pirate, pirate ship 10.9631176 drilling platform, offshore rig |
13.3413090 container ship, containership, container vessel 12.7817990 liner, ocean liner 11.4793770 beacon, lighthouse, beacon light, pharos 11.0030220 pirate, pirate ship 10.9631160 drilling platform, offshore rig |
mobilenetv2-12-int8.onnx | C++ API Mean values: [0.485,0.456,0.406] C++ API Scale values: [0.229,0.224,0.225] Python API Mean values: [103.53,116.28,123.675] Python API Scale values: [57.375,57.12,58.395] |
10.4093981 seashore, coast, seacoast, sea-coast 10.2492533 beacon, lighthouse, beacon light, pharos 9.6086750 liner, ocean liner 8.8079519 pedestal, plinth, footstall 8.4876633 pirate, pirate ship |
10.4093980 seashore, coast, seacoast, sea-coast 10.2492530 beacon, lighthouse, beacon light, pharos 9.6086750 liner, ocean liner 8.8079520 pedestal, plinth, footstall 8.4876630 pirate, pirate ship |
resnet152-v1-7.onnx | C++ API Mean values: [0.485,0.456,0.406] C++ API Scale values: [0.229,0.224,0.225] Python API Mean values: [103.53,116.28,123.675] Python API Scale values: [57.375,57.12,58.395] |
10.7093782 liner, ocean liner 10.1390295 wreck 9.2481613 drilling platform, offshore rig 9.0711117 container ship, containership, container vessel 9.0439491 seashore, coast, seacoast, sea-coast |
10.7093780 liner, ocean liner 10.1390290 wreck 9.2481600 drilling platform, offshore rig 9.0711110 container ship, containership, container vessel 9.0439480 seashore, coast, seacoast, sea-coast |
shufflenet-v2-12.onnx | C++ API Mean values: [0.485,0.456,0.406] C++ API Scale values: [0.229,0.224,0.225] Python API Mean values: [103.53,116.28,123.675] Python API Scale values: [57.375,57.12,58.395] |
7.5595794 beacon, lighthouse, beacon light, pharos 7.3999972 breakwater, groin, groyne, mole, bulwark, seawall, jetty 5.8455462 liner, ocean liner 5.7949190 meerkat, mierkat 5.4913082 perfume, essence |
7.5595770 beacon, lighthouse, beacon light, pharos 7.3999960 breakwater, groin, groyne, mole, bulwark, seawall, jetty 5.8455460 liner, ocean liner 5.7949250 meerkat, mierkat 5.4913080 perfume, essence |
shufflenet-v2-12-int8.onnx | C++ API Mean values: [0.485,0.456,0.406] C++ API Scale values: [0.229,0.224,0.225] Python API Mean values: [103.53,116.28,123.675] Python API Scale values: [57.375,57.12,58.395] |
7.5856004 breakwater, groin, groyne, mole, bulwark, seawall, jetty 7.0684004 catamaran 6.8960004 beacon, lighthouse, beacon light, pharos 6.7236004 meerkat, mierkat 6.2064004 window screen |
7.5856000 breakwater, groin, groyne, mole, bulwark, seawall, jetty 7.0684000 catamaran 6.8960000 beacon, lighthouse, beacon light, pharos 6.7236000 meerkat, mierkat 6.2064000 window screen |
squeezenet1.0-12.onnx | - | 0.5427447 lifeboat 0.3708561 drilling platform, offshore rig 0.0383874 container ship, containership, container vessel 0.0352432 liner, ocean liner 0.0035164 dock, dockage, docking facility |
0.5427450 lifeboat 0.3708560 drilling platform, offshore rig 0.0383870 container ship, containership, container vessel 0.0352430 liner, ocean liner 0.0035160 dock, dockage, docking facility |
squeezenet1.0-12-int8.onnx | - | 0.4119241 lifeboat 0.1959008 liner, ocean liner 0.1626824 drilling platform, offshore rig 0.1350968 container ship, containership, container vessel 0.0210713 pop bottle, soda bottle |
0.4119240 lifeboat 0.1959010 liner, ocean liner 0.1626820 drilling platform, offshore rig 0.1350970 container ship, containership, container vessel 0.0210710 pop bottle, soda bottle |
vgg16-12.onnx | C++ API Mean values: [0.485,0.456,0.406] C++ API Scale values: [0.229,0.224,0.225] Python API Mean values: [103.53,116.28,123.675] Python API Scale values: [57.375,57.12,58.395] |
13.3489952 container ship, containership, container vessel 12.4881687 liner, ocean liner 11.4792709 fireboat 11.1802950 drilling platform, offshore rig 11.0454407 breakwater, groin, groyne, mole, bulwark, seawall, jetty |
13.3489920 container ship, containership, container vessel 12.4881660 liner, ocean liner 11.4792710 fireboat 11.1802930 drilling platform, offshore rig 11.0454410 breakwater, groin, groyne, mole, bulwark, seawall, jetty |
vgg16-12-int8.onnx | C++ API Mean values: [0.485,0.456,0.406] C++ API Scale values: [0.229,0.224,0.225] Python API Mean values: [103.53,116.28,123.675] Python API Scale values: [57.375,57.12,58.395] |
16.8287258 container ship, containership, container vessel 15.2753048 liner, ocean liner 14.7574978 drilling platform, offshore rig 13.9807873 breakwater, groin, groyne, mole, bulwark, seawall, jetty 12.4273663 dock, dockage, docking facility |
16.8287260 container ship, containership, container vessel 15.2753050 liner, ocean liner 14.7574980 drilling platform, offshore rig 13.9807870 breakwater, groin, groyne, mole, bulwark, seawall, jetty 12.4273660 dock, dockage, docking facility |
zfnet512-12.onnx | - | 0.5853008 lifeboat 0.1041721 liner, ocean liner 0.0734617 breakwater, groin, groyne, mole, bulwark, seawall, jetty 0.0427900 beacon, lighthouse, beacon light, pharos 0.0257015 container ship, containership, container vessel |
0.5853010 lifeboat 0.1041720 liner, ocean liner 0.0734620 breakwater, groin, groyne, mole, bulwark, seawall, jetty 0.0427900 beacon, lighthouse, beacon light, pharos 0.0257020 container ship, containership, container vessel |
zfnet512-12-int8.onnx | - | 0.1840482 liner, ocean liner 0.0950053 container ship, containership, container vessel 0.0638906 lifeboat 0.0559758 beacon, lighthouse, beacon light, pharos 0.0429662 drilling platform, offshore rig |
0.1840480 liner, ocean liner 0.0950050 container ship, containership, container vessel 0.0638910 lifeboat 0.0559760 beacon, lighthouse, beacon light, pharos 0.0429660 drilling platform, offshore rig |