{
  "total": 96,
  "topics": [
    {
      "id": 49347,
      "title": "Leaderboard has been Finalized - Congratulations to the Winners!",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 47360,
      "title": "IEEE SPS Cup Student Deadlines",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 46214,
      "title": "Welcome",
      "comment_count": 22,
      "views": 0,
      "votes": 8
    },
    {
      "id": 46246,
      "title": "Welcome & Important Competition Info",
      "comment_count": 4,
      "views": 0,
      "votes": 11
    },
    {
      "id": 73755,
      "title": "(deleted) ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 49299,
      "title": "2nd place solution with GPU muscles",
      "comment_count": 25,
      "views": 0,
      "votes": 71
    },
    {
      "id": 47896,
      "title": "Sharing my code, looking for suggestions (0.934 LB)",
      "comment_count": 92,
      "views": 0,
      "votes": 60
    },
    {
      "id": 47735,
      "title": "Please Help: Error during using pre-trained network keras",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 49367,
      "title": "1st place solution",
      "comment_count": 29,
      "views": 0,
      "votes": 54
    },
    {
      "id": 46458,
      "title": "Team Up",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 53145,
      "title": "what is TTA",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 47235,
      "title": "Additional data",
      "comment_count": 12,
      "views": 0,
      "votes": 86
    },
    {
      "id": 49290,
      "title": "Congratulations and Thank You",
      "comment_count": 46,
      "views": 0,
      "votes": 39
    },
    {
      "id": 49602,
      "title": "3rd place solution",
      "comment_count": 4,
      "views": 0,
      "votes": 18
    },
    {
      "id": 49314,
      "title": "My solution: Single model with a few quirks.",
      "comment_count": 11,
      "views": 0,
      "votes": 70
    },
    {
      "id": 49298,
      "title": "4th place solution",
      "comment_count": 26,
      "views": 0,
      "votes": 30
    },
    {
      "id": 49319,
      "title": "9th Place Solution",
      "comment_count": 4,
      "views": 0,
      "votes": 30
    },
    {
      "id": 49334,
      "title": "5th place solution",
      "comment_count": 2,
      "views": 0,
      "votes": 35
    },
    {
      "id": 49366,
      "title": "10th Place Solution",
      "comment_count": 4,
      "views": 0,
      "votes": 13
    },
    {
      "id": 49302,
      "title": "gold solution",
      "comment_count": 14,
      "views": 0,
      "votes": 6
    },
    {
      "id": 49064,
      "title": "Sharing new training dataset",
      "comment_count": 6,
      "views": 0,
      "votes": 16
    },
    {
      "id": 49320,
      "title": "Optimization or Magic features",
      "comment_count": 4,
      "views": 0,
      "votes": 10
    },
    {
      "id": 49355,
      "title": "Has Anyone Figured Out What Were The CNNs Learning?",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 49198,
      "title": "Your Best Results without additional data ? ",
      "comment_count": 8,
      "views": 0,
      "votes": 8
    },
    {
      "id": 49343,
      "title": "How to deal with manipulated images/data augmentation with resize?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 49230,
      "title": "Best single model?",
      "comment_count": 20,
      "views": 0,
      "votes": 3
    },
    {
      "id": 48679,
      "title": "pytorch baseline 0.946 acc (Andres generator)",
      "comment_count": 19,
      "views": 0,
      "votes": 45
    },
    {
      "id": 49386,
      "title": "Handcrafted feature",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 49269,
      "title": "Living on the edge: coding ensembles at the last minute. Live screencast",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 49293,
      "title": "Our approach -  47th place",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 49291,
      "title": "Some shakeup , congratulations and thank yoh Gleb",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 49401,
      "title": "Any Deep Learning Tutorial Site to recommend?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 49313,
      "title": "Congratulations to all winner and thanks for sharing.",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 49398,
      "title": "Thank you so much for the wonderful experience",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 49245,
      "title": "Same device classification for a pair of images?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 49289,
      "title": "Congrats to all the winners :)",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 49255,
      "title": "Google's Photo Assistant made panoramas from the training data...",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 49370,
      "title": "Any hints on how the high validation accuracy is achieved?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 49191,
      "title": "Shake UP?   Correct classification of ~12 images separate the Top 10 teams",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 49041,
      "title": "How big is your training set?",
      "comment_count": 13,
      "views": 0,
      "votes": 3
    },
    {
      "id": 49318,
      "title": "What kind of hardware are used?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 48901,
      "title": "ensemble?",
      "comment_count": 8,
      "views": 0,
      "votes": 5
    },
    {
      "id": 48293,
      "title": "From 0.959 LB to...",
      "comment_count": 136,
      "views": 0,
      "votes": 56
    },
    {
      "id": 49114,
      "title": "My training accuracy is around 93% while the validation accuracy is 79% but in the LB it scores around 51.7%.. Any suggestion?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 49268,
      "title": "Is it fair?",
      "comment_count": 12,
      "views": 0,
      "votes": -13
    },
    {
      "id": 49215,
      "title": "Database can't download?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 49095,
      "title": "Anyone else with a model with val_accuracy 99%",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 48482,
      "title": "Are huge ensembles getting out of control in Kaggle?",
      "comment_count": 50,
      "views": 0,
      "votes": 48
    },
    {
      "id": 48473,
      "title": "Upgrading to Tensorflow 1.5",
      "comment_count": 10,
      "views": 0,
      "votes": 6
    },
    {
      "id": 48860,
      "title": "IEEE SPS cup dataset submission",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 48821,
      "title": "What features might have been learnt by CNN",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 48680,
      "title": "Wrong orientation of images in test set",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 48688,
      "title": "pretrained models and external data",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 48169,
      "title": "Share my progress, looking for advices (LB 0.78)",
      "comment_count": 8,
      "views": 0,
      "votes": 10
    },
    {
      "id": 47734,
      "title": "Need access to high performance computing system",
      "comment_count": 8,
      "views": 0,
      "votes": -3
    },
    {
      "id": 48448,
      "title": "iPhone 6 vs. iPhone 6 Plus",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 48657,
      "title": "Can I use external data other than competing training data?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 48258,
      "title": "How to check if you are maximizing your GPU",
      "comment_count": 7,
      "views": 0,
      "votes": 9
    },
    {
      "id": 48600,
      "title": "Big gap between validation accuracy and LBscore?",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 48390,
      "title": "Public Service Announcement to All Parents About Deep Learning",
      "comment_count": 3,
      "views": 0,
      "votes": 19
    },
    {
      "id": 48439,
      "title": "get Dataset",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 48489,
      "title": "Question about submission details",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 48463,
      "title": "Please help: Error during JPEG compression",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 47976,
      "title": "Transfer learning code -- 50 percent leaderboard accuracy",
      "comment_count": 4,
      "views": 0,
      "votes": 11
    },
    {
      "id": 48344,
      "title": "Does the metadata leak any info?...",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 47475,
      "title": "93 percent validation accuracy and 10 percent test accuracy, HOW???",
      "comment_count": 25,
      "views": 0,
      "votes": 12
    },
    {
      "id": 47883,
      "title": "Google Colab is now providing free GPU access",
      "comment_count": 5,
      "views": 0,
      "votes": 11
    },
    {
      "id": 48285,
      "title": "How to train a CNN model with a common GPU",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 48268,
      "title": "Random crop",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 48256,
      "title": "Please Help: How to Overcome Kaggle Kernel 1 hour Runtime Constraint",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 47764,
      "title": "Simple CNN makes no sense ",
      "comment_count": 18,
      "views": 0,
      "votes": 3
    },
    {
      "id": 48105,
      "title": "What dataset are you using?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 48028,
      "title": "Question about bicubic resizing manipulation",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 47898,
      "title": "ResNet18 is not getting trained to expected level",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 46508,
      "title": "Sharing our approach to the problem ",
      "comment_count": 46,
      "views": 0,
      "votes": 10
    },
    {
      "id": 47792,
      "title": "A Tip for Boosting Performance",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 47553,
      "title": "Any success using Gram matrix?",
      "comment_count": 12,
      "views": 0,
      "votes": 5
    },
    {
      "id": 46688,
      "title": "Sharing my approach",
      "comment_count": 80,
      "views": 0,
      "votes": 26
    },
    {
      "id": 47940,
      "title": "_manip rules clarification",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 47868,
      "title": "Running the Keras starter kernel on free GPUs in parallel + datasets in the cloud",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 46999,
      "title": "File Format JPEG or TIFF?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 47832,
      "title": "Never mix test and training data",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 47765,
      "title": "Non image-processing techniques",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 47404,
      "title": "The Complete Guide of Camera Model Identification",
      "comment_count": 0,
      "views": 0,
      "votes": 13
    },
    {
      "id": 47466,
      "title": "Why so few team??",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 47511,
      "title": "Question about image manipulation",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 46687,
      "title": "About dealing with the big gap between validation set and test set",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 47297,
      "title": "Urgent for SP CUP Eligible : SPS Membership Renewal",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 46757,
      "title": "Failure of the Classical approaches!!!",
      "comment_count": 15,
      "views": 0,
      "votes": null
    },
    {
      "id": 46867,
      "title": "Is it right to gamma correction like this?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 46641,
      "title": "Training Set Problem",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 46521,
      "title": "Could I register a new team?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 46231,
      "title": "Identifying Camera Model? Try *INDIVIDUAL* Smartphone",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 46292,
      "title": "Might be useful camera information",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 46265,
      "title": "WOW, Image Forensics Competition!",
      "comment_count": 0,
      "views": 0,
      "votes": 12
    },
    {
      "id": 46255,
      "title": "Formulation of Score",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    }
  ],
  "errors": []
}