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a4fed4cd48319fab

Date: 2017-02-27 16:44:33.859885
License:
Module: experiment.bench.dnn.mobile
Repo: upload
CID (DOI-like distributed ID): 4dcf435bb0d92fa6:a4fed4cd48319fab

Files:

Cross-linking (dependencies):

Meta:
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      "mispredictions": [
        {
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          "mispredicted_image": "misprediction-image-048a7962bbf2a6a6.jpg", 
          "misprediction_results": "---------- Prediction for /sdcard/openscience//tmp//1488213796891.jpg ----------\n0.0982 - \"n03777754 modem\"\n0.0648 - \"n07248320 book jacket, dust cover, dust jacket, dust wrapper\"\n0.0555 - \"n03642806 laptop, laptop computer\"\n0.0353 - \"n03832673 notebook, notebook computer\"\n0.0306 - \"n02840245 binder, ring-binder\"\n"
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          "misprediction_results": "---------- Prediction for /sdcard/openscience//tmp//1488213926182.jpg ----------\n0.3121 - \"n04392985 tape player\"\n0.2282 - \"n02979186 cassette player\"\n0.1077 - \"n02988304 CD player\"\n0.0549 - \"n03895866 passenger car, coach, carriage\"\n0.0510 - \"n03207941 dishwasher, dish washer, dishwashing machine\"\n"
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    "cpu_name": "Qualcomm Technologies, Inc MSM8916", 
    "cpu_uid": "bc0db4c4bbe612fe", 
    "crowd_uid": "97fd474c94b90ed3", 
    "engine": "Caffe CPU", 
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    "gpgpu_uid": "", 
    "gpu_name": "Qualcomm Adreno (TM) 306", 
    "gpu_uid": "4e79a7ee92836d24", 
    "model": "DeepScale SqueezeNet 1.1", 
    "os_name": "Android 5.0.2", 
    "os_uid": "bb6cce787ea5e178", 
    "plat_name": "VIVO Y51", 
    "platform_uid": ""
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API desc:
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