Data source: ImageNet
Image resolution: 709 x 510
Model | Python API |
---|---|
alexnet | 0.9521238 Granny Smith 0.0069122 piggy bank, penny bank 0.0054333 candle, taper, wax light 0.0037157 saltshaker, salt shaker 0.0034601 tennis ball |
caffenet | 0.8039698 Granny Smith 0.0632433 candle, taper, wax light 0.0330907 teapot 0.0097625 tennis ball 0.0090626 saltshaker, salt shaker |
googlenet-v1 | 0.9976689 Granny Smith 0.0008829 bell pepper 0.0007544 candle, taper, wax light 0.0001104 tennis ball 0.0000760 cucumber, cuke |
googlenet-v2 | 1 2 3 4 5 |
mobilenet-v1-1.0-224 | 0.9441363 Granny Smith 0.0080110 fig 0.0080110 fig 0.0042537 custard apple 0.0036513 orange |
resnet-50 | 0.1277405 banana 0.1127745 Granny Smith 0.0634981 tennis ball 0.0430247 hook, claw 0.0374068 safety pin |
resnet-101 | 0.9928160 Granny Smith 0.0040912 fig 0.0009257 jackfruit, jak, jack 0.0006793 lemon 0.0003674 banana |
resnet-152 | 0.7078075 Granny Smith 0.1253205 gong, tam-tam 0.0107064 water jug 0.0105488 tennis ball 0.0088275 coffeepot |
squeezenet-1.0 | 0.9992466 Granny Smith 0.0001648 tennis ball 0.0001631 bell pepper 0.0001376 saltshaker, salt shaker 0.0001081 piggy bank, penny bank |
squeezenet-1.1 | 0.9995996 Granny Smith 0.0002680 tennis ball 0.0000614 fig 0.0000253 lemon 0.0000120 banana |
vgg-16 | 0.9256526 Granny Smith 0.0305293 bell pepper 0.0080413 saltshaker, salt shaker 0.0060264 necklace 0.0033264 vase |
vgg-19 | 0.7781622 Granny Smith 0.0757968 necklace 0.0475143 acorn 0.0159689 fig 0.0130410 lemon |
Data source: ImageNet
Image resolution: 500 x 500
Model | Python API |
---|---|
alexnet | 0.8866407 junco, snowbird 0.1086869 chickadee 0.0019401 brambling, Fringilla montifringilla 0.0013517 water ouzel, dipper 0.0002660 bulbul |
caffenet | 0.9883578 junco, snowbird 0.0000186 chickadee 0.0000017 brambling, Fringilla montifringilla 0.0000014 water ouzel, dipper 0.0000013 house finch, linnet, Carpodacus mexicanus |
googlenet-v1 | 0.9999765 junco, snowbird 0.0005613 bell pepper 0.0003487 candle, taper, wax light 0.0000679 tennis ball 0.0000656 piggy bank, penny bank |
googlenet-v2 | 1 2 3 4 5 |
mobilenet-v1-1.0-224 | 0.9988434 junco, snowbird 0.0007267 chickadee 0.0002552 brambling, Fringilla montifringilla 0.0000451 indigo bunting, indigo finch, indigo bird, Passerina cyanea 0.0000312 bulbul |
resnet-50 | 0.9975350 junco, snowbird 0.0012899 chickadee 0.0007322 indigo bunting, indigo finch, indigo bird, Passerina cyanea 0.0003813 brambling, Fringilla montifringilla 0.0000160 bulbul |
resnet-101 | 0.9994699 junco, snowbird 0.0001720 brambling, Fringilla montifringilla 0.0001495 indigo bunting, indigo finch, indigo bird, Passerina cyanea 0.0001213 chickadee 0.0000216 water ouzel, dipper |
resnet-152 | 0.9961464 junco, snowbird 0.0013669 chickadee 0.0008338 brambling, Fringilla montifringilla 0.0005274 indigo bunting, indigo finch, indigo bird, Passerina cyanea 0.0002985 water ouzel, dipper |
squeezenet-1.0 | 0.9669856 junco, snowbird 0.0299453 chickadee 0.0015737 brambling, Fringilla montifringilla 0.0004190 bulbul 0.0003177 jay |
squeezenet-1.1 | 0.9902450 junco, snowbird 0.0087430 chickadee 0.0005967 brambling, Fringilla montifringilla 0.0002337 jay 0.0001153 indigo bunting, indigo finch, indigo bird, Passerina cyanea |
vgg-16 | 0.9999917 junco, snowbird 0.0000070 chickadee 0.0000013 brambling, Fringilla montifringilla 0.0000000 water ouzel, dipper 0.0000000 indigo bunting, indigo finch, indigo bird, Passerina cyanea |
vgg-19 | 0.9999951 junco, snowbird 0.0000039 brambling, Fringilla montifringilla 0.0000009 chickadee 0.0000000 water ouzel, dipper 0.0000000 indigo bunting, indigo finch, indigo bird, Passerina cyanea |
Data source: ImageNet
Image resolution: 333 x 500
Model | Python API |
---|---|
alexnet | 0.9570842 lifeboat 0.0145343 container ship, containership, container vessel 0.0057027 breakwater, groin, groyne, mole, bulwark, seawall, jetty 0.0050276 beacon, lighthouse, beacon light, pharos 0.0043956 liner, ocean liner |
caffenet | 0.5774223 lifeboat 0.2691385 container ship, containership, container vessel 0.0526851 breakwater, groin, groyne, mole, bulwark, seawall, jetty 0.0484550 liner, ocean liner 0.0084702 beacon, lighthouse, beacon light, pharos |
googlenet-v1 | 0.4912087 lifeboat 0.1853294 drilling platform, offshore rig 0.0932134 container ship, containership, container vessel 0.0756835 liner, ocean liner 0.0567751 beacon, lighthouse, beacon light, pharos |
googlenet-v2 | 1 2 3 4 5 |
mobilenet-v1-1.0-224 | 0.8883281 lifeboat 0.0358162 pirate, pirate ship 0.0247643 container ship, containership, container vessel 0.0106020 drilling platform, offshore rig 0.0084067 liner, ocean liner |
resnet-50 | 0.8872180 lifeboat 0.0398499 liner, ocean liner 0.0237536 container ship, containership, container vessel 0.0125248 dock, dockage, docking facility 0.0107783 drilling platform, offshore rig |
resnet-101 | 0.6138119 lifeboat 0.1049526 drilling platform, offshore rig 0.0466763 liner, ocean liner 0.0327783 dock, dockage, docking facility 0.0284108 aircraft carrier, carrier, flattop, attack aircraft carrier |
resnet-152 | 0.9505481 lifeboat 0.0083380 drilling platform, offshore rig 0.0072417 aircraft carrier, carrier, flattop, attack aircraft carrier 0.0049709 container ship, containership, container vessel 0.0041877 liner, ocean liner |
squeezenet-1.0 | 0.4751488 liner, ocean liner 0.2905624 lifeboat 0.1737312 container ship, containership, container vessel 0.0127517 beacon, lighthouse, beacon light, pharos 0.0101218 fireboat |
squeezenet-1.1 | 0.6992837 lifeboat 0.1367231 drilling platform, offshore rig 0.0986509 liner, ocean liner 0.0202084 container ship, containership, container vessel 0.0170821 submarine, pigboat, sub, U-boat |
vgg-16 | 0.5846901 lifeboat 0.3716984 container ship, containership, container vessel 0.0152381 liner, ocean liner 0.0134273 drilling platform, offshore rig 0.0037419 dock, dockage, docking facility |
vgg-19 | 0.9302235 lifeboat 0.0434868 container ship, containership, container vessel 0.0111730 liner, ocean liner 0.0040760 fireboat 0.0028543 drilling platform, offshore rig |
Data source: ImageNet
Image resolution: 709 x 510
Bounding boxes (upper left and bottom right corners):(55, 155), (236, 375)
(190, 190), (380, 400)
(374, 209), (588, 422)
(289, 111), (440, 255)
(435, 160), (615, 310)
Model | Python API |
---|---|
mobilenet-ssd | Bounding box: (46, 133), (657, 445) |
ssd300 | Bounding box: (66, 163), (235, 356) |
ssd512 | Bounding boxes: (65, 168), (256, 343); (378, 167), (592, 424) |
Data source: ImageNet
Image resolution: 500 x 500
Bounding box (upper left and bottom right corners):(117, 86), (365, 465)
Model | Python API |
---|---|
mobilenet-ssd | Bounding box: (94, 93), (360, 481) |
ssd300 | Bounding box: (68, 100), (334,451) |
ssd512 | Bounding box: (67, 95), (356, 480) |
Data source: ImageNet
Image resolution: 333 x 500
Bounding box (upper left and bottom right corners):(82, 262), (269, 376)
Model | Python API |
---|---|
mobilenet-ssd | Bounding box: (79, 140), (270, 375) |
ssd300 | Bounding box: (79, 150), (270, 373) |
ssd512 | Bounding box: (79, 175), (274, 372) |