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validation_results_caffe.md

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Validation results for the models inferring using Intel® Optimization for Caffe

Image classification

Test image #1

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

Test image #2

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

Test image #3

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

Object detection

Test image #1

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)

Test image #2

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)

Test image #3

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)