{
  "source": "live Code list",
  "fetched_at": "2026-10-24T15:08:14Z",
  "count": 229,
  "complete": true,
  "items": [
    {
      "ref": "teudepdzai/mhc-segmentation",
      "votes": 2
    },
    {
      "ref": "oleksiistreltsov/carvana-segmentation-0-99704-0-99696-fully-online",
      "votes": 0
    },
    {
      "ref": "mrinmaynath1/assignment-8",
      "votes": 1
    },
    {
      "ref": "say2003/dl-lab-8",
      "votes": 0
    },
    {
      "ref": "lehuunhan/bt6-lehuunhan",
      "votes": 0
    },
    {
      "ref": "huynhtabdung/ai-lab6",
      "votes": 0
    },
    {
      "ref": "zahramollaey/carvana-segmentation-from-scratch",
      "votes": 0
    },
    {
      "ref": "hussienadelhassan/notebookfa53d02933",
      "votes": 4
    },
    {
      "ref": "juandiegoparrapatio/parcial-3-pdi",
      "votes": 0
    },
    {
      "ref": "lwen1243/carvana-challenge",
      "votes": 0
    },
    {
      "ref": "tadjineamine/segmentation-workshop",
      "votes": 2
    },
    {
      "ref": "josiahsukumutie/topology-preserving-image-segmentation",
      "votes": 0
    },
    {
      "ref": "tantanhoang/carvana-challenge-unet-resnet34-backbone",
      "votes": 1
    },
    {
      "ref": "zhourd/cie6004",
      "votes": 1
    },
    {
      "ref": "nikita7364777/u-net-binary-segmentation",
      "votes": 8
    },
    {
      "ref": "harrykesh/student-teacher-approach",
      "votes": 3
    },
    {
      "ref": "roxanneai/image-masking-challenge-carvana",
      "votes": 7
    },
    {
      "ref": "radeveljic/multimedije-notebook",
      "votes": 1
    },
    {
      "ref": "zainabelsayedtaha/carvana-image-masking",
      "votes": 30
    },
    {
      "ref": "khoalequangminh/notebook301dd3ca5a",
      "votes": 2
    },
    {
      "ref": "eternity0207/stanford-unet",
      "votes": 3
    },
    {
      "ref": "artitumir/carvana-image-masking-challenge",
      "votes": 0
    },
    {
      "ref": "artitumir/question-2",
      "votes": 0
    },
    {
      "ref": "devvidit/question-2",
      "votes": 1
    },
    {
      "ref": "felixb754/u-net-implementation",
      "votes": 7
    },
    {
      "ref": "varaaa1/unet-segmentation-on-carvana-dataset",
      "votes": 17
    },
    {
      "ref": "dhamur/u-net-with-backbones-ensembling",
      "votes": 3
    },
    {
      "ref": "aliazimieco/is-purchase-date-the-redflag-for-bad-carvana-deals",
      "votes": 10
    },
    {
      "ref": "doaahelal/caravana-semantic-segmentation-with-unet",
      "votes": 11
    },
    {
      "ref": "dhamur/fork-of-u-net-carvana-image-masking-challenge-w-b",
      "votes": 7
    },
    {
      "ref": "dhamur/semantic-segmentation-using-u-net",
      "votes": 1
    },
    {
      "ref": "shetu369/class-29-segmentation-secrets",
      "votes": 4
    },
    {
      "ref": "rohandebnath/unet-from-scratch",
      "votes": 0
    },
    {
      "ref": "manthanvijaybarhate/semantic-segemntation",
      "votes": 1
    },
    {
      "ref": "alishajoya/alisha-unet-architecture-for-semantic-segmentation",
      "votes": 1
    },
    {
      "ref": "tany1404/unet-architecture-for-semantic-segmentation",
      "votes": 22
    },
    {
      "ref": "beyondhorizon19/coding-unet",
      "votes": 1
    },
    {
      "ref": "binman159/semantic-segmentation-unet",
      "votes": 1
    },
    {
      "ref": "nataliyad87/notebook4d5253c826",
      "votes": 4
    },
    {
      "ref": "nataliyad87/notebook4db6228da7",
      "votes": 0
    },
    {
      "ref": "minhvudut/unet-demo",
      "votes": 0
    },
    {
      "ref": "joe10mohamed/semantic-segmentation-unet",
      "votes": 27
    },
    {
      "ref": "krendus/unet-pratice",
      "votes": 13
    },
    {
      "ref": "arunpratihast/image-segmentation-u-net",
      "votes": 0
    },
    {
      "ref": "peachwuhu/u-net",
      "votes": 1
    },
    {
      "ref": "maxkorjh/nikataloh",
      "votes": 7
    },
    {
      "ref": "maxinstellar/image-segmentation-using-unet-with-pytorch",
      "votes": 3
    },
    {
      "ref": "aryan401/u-net-object-segmentation",
      "votes": 58
    },
    {
      "ref": "mehmetkaangenc/image-segmentation-with-unet",
      "votes": 14
    },
    {
      "ref": "alaaibrahim222/unet-semantic-segmentation",
      "votes": 7
    },
    {
      "ref": "vladivashchuk/pytorch-unet-with-submission",
      "votes": 20
    },
    {
      "ref": "agnijbiswas/carvana-image-masking",
      "votes": 4
    },
    {
      "ref": "halilbrahimhatun/carvana-segmentation-v1",
      "votes": 0
    },
    {
      "ref": "gon213/carvana-image-masking-by-gontech",
      "votes": 6
    },
    {
      "ref": "edizaguirre/carvana-image-segmentation",
      "votes": 10
    },
    {
      "ref": "giridharvaruganti/u-net-pytorch",
      "votes": 29
    },
    {
      "ref": "hsw1212/unet-multi-classification-diceloss",
      "votes": 2
    },
    {
      "ref": "hsw1212/unet-multi-classification",
      "votes": 5
    },
    {
      "ref": "hsw1212/unet-binary-classification",
      "votes": 6
    },
    {
      "ref": "rumitpathare/custom-mobilenetv2-u-net-model-optimised",
      "votes": 6
    },
    {
      "ref": "armanaghania/carvana-segmentation-challenge-done-with-u-net",
      "votes": 41
    },
    {
      "ref": "abhitpandey007/transunet-carvana",
      "votes": 4
    },
    {
      "ref": "abhitpandey007/transunet",
      "votes": 12
    },
    {
      "ref": "abhit007pandey/trans-unet-image-masking",
      "votes": 3
    },
    {
      "ref": "ayushishukla12/transattunet",
      "votes": 2
    },
    {
      "ref": "abhitpandey007/transbts-segnet-carvana-complete",
      "votes": 0
    },
    {
      "ref": "piyushtiwari123/semanticsegmentation",
      "votes": 1
    },
    {
      "ref": "rounakkumbhakar/unet-segmentation",
      "votes": 36
    },
    {
      "ref": "michaelswan/practice-image-segmentation-with-u-net",
      "votes": 12
    },
    {
      "ref": "hugolearn/practice-image-segmentation-with-u-net",
      "votes": 76
    },
    {
      "ref": "selvin3/u-net-model",
      "votes": 1
    },
    {
      "ref": "shravankumarpai/basic-unet-usage",
      "votes": 0
    },
    {
      "ref": "selvin3/yolov7-grabcut",
      "votes": 12
    },
    {
      "ref": "ayushjangididd/semanticsegmentation",
      "votes": 10
    },
    {
      "ref": "qdpatidar687/image-segmentation-u-net",
      "votes": 1
    },
    {
      "ref": "nataliamakarevich/carvana-course-project",
      "votes": 5
    },
    {
      "ref": "ilyamfsl/image-segmentation-using-unet-unet",
      "votes": 8
    },
    {
      "ref": "dipeshsingla/image-segmt-by-unet-with-pytorch-crack-detectio",
      "votes": 26
    },
    {
      "ref": "agarwaladitya1019/image-segmentation-u-net",
      "votes": 1
    },
    {
      "ref": "dhruvikharadi/background-removal",
      "votes": 3
    },
    {
      "ref": "viveksolanki2641/image-background-remover",
      "votes": 2
    },
    {
      "ref": "myominhtet/segmentation-with-eda-and-catalyst",
      "votes": 20
    },
    {
      "ref": "seanreed1/draft-unet-segmentation-on-carvana-dataset",
      "votes": 9
    },
    {
      "ref": "yousefradwanlmao/carvana-pipeline",
      "votes": 1
    },
    {
      "ref": "myominhtet/a-simple-explanation-of-run-length-encoding",
      "votes": 9
    },
    {
      "ref": "yousefradwanlmao/carvana-testing",
      "votes": 0
    },
    {
      "ref": "wasdac/image-segmentation-using-unet-with-pytorch",
      "votes": 98
    },
    {
      "ref": "alanyu223/unet-segmentation-on-carvana-dataset",
      "votes": 50
    },
    {
      "ref": "bencetar/unet-test-on-carvana",
      "votes": 9
    },
    {
      "ref": "jsxyhelu2019/carvana-resnet34-pytorch-fastai",
      "votes": 47
    },
    {
      "ref": "ripon107/carvana",
      "votes": 0
    },
    {
      "ref": "ipythonx/carvana-image-semantic-segmentation-starter",
      "votes": 48
    },
    {
      "ref": "jainishsavalia/image-segmentation",
      "votes": 3
    },
    {
      "ref": "vladimirzotov/image-segmentation-u-net-modified",
      "votes": 0
    },
    {
      "ref": "satya1013/unet-with-tensorflow",
      "votes": 8
    },
    {
      "ref": "sergeykit/carvana-u-net-keras-full-kaggle",
      "votes": 33
    },
    {
      "ref": "varshh/optisol-task",
      "votes": 1
    },
    {
      "ref": "daniilkljukin357/carvana-image-segmentation-in-tensorflow",
      "votes": 0
    },
    {
      "ref": "nandwalritik/u-net-pytorch",
      "votes": 85
    },
    {
      "ref": "mahedi61/unet-based-segmentation",
      "votes": 4
    },
    {
      "ref": "suvooo/unet-pytorch",
      "votes": 17
    },
    {
      "ref": "manickavela/segmentation-basic-unet-pytorch",
      "votes": 27
    },
    {
      "ref": "thuyetpham/u-net-ver2",
      "votes": 1
    },
    {
      "ref": "huyuet/u-net",
      "votes": 1
    },
    {
      "ref": "robiulcse12/image-segmentation-u-net-pytorch",
      "votes": 6
    },
    {
      "ref": "thuyetpham/u-net-ver1",
      "votes": 1
    },
    {
      "ref": "lalehsfz/carvana-image-segmentation-in-tensorflow",
      "votes": 18
    },
    {
      "ref": "yaquijumaramos/carvana-masking",
      "votes": 8
    },
    {
      "ref": "dikshabhati2002/image-segmentation-u-net",
      "votes": 229
    },
    {
      "ref": "nuru91/caravana-u-net-with-vgg19",
      "votes": 25
    },
    {
      "ref": "julichitai/carvana-cars-segmentation-keras",
      "votes": 16
    },
    {
      "ref": "dqhdqmcttdqx/carvana-challenge-unet",
      "votes": 7
    },
    {
      "ref": "fadillahadamsyah/carvana-segmentation",
      "votes": 2
    },
    {
      "ref": "umutcanakdag/image-segmentation-u-net",
      "votes": 8
    },
    {
      "ref": "shivsivakumar/carvana-vgg19-u-net",
      "votes": 1
    },
    {
      "ref": "aromog/segmentaci-n-imagenes-red-neuronal",
      "votes": 1
    },
    {
      "ref": "yacinerouizi/carvana-vgg19-u-net",
      "votes": 30
    },
    {
      "ref": "estebannaranjom/segmentaci-n-imagenes",
      "votes": 1
    },
    {
      "ref": "estebannaranjom/seg-imag",
      "votes": 1
    },
    {
      "ref": "sharansmenon/notebook515b5fd0e7",
      "votes": 6
    },
    {
      "ref": "rpsantosakaggle/unet-carvana",
      "votes": 8
    },
    {
      "ref": "caiqingyang/carvana-unet",
      "votes": 0
    },
    {
      "ref": "mariiakorliakova/unet-augmented",
      "votes": 3
    },
    {
      "ref": "hotuanlong/u-net",
      "votes": 10
    },
    {
      "ref": "maheshchoudhury135/segmentation-v4-final-unet",
      "votes": 4
    },
    {
      "ref": "janvichokshi/image-segmentation",
      "votes": 30
    },
    {
      "ref": "manishkumar0/pil-vs-opencv",
      "votes": 1
    },
    {
      "ref": "chirag003/car-image-segmentation",
      "votes": 9
    },
    {
      "ref": "sgauravm/car-mask",
      "votes": 3
    },
    {
      "ref": "iasonsky/99-loss-simple-sol-using-u-net-keras-tf",
      "votes": 4
    },
    {
      "ref": "gargkaman7/semantic-segemntation",
      "votes": 8
    },
    {
      "ref": "taylorbrown/pil-vs-opencv",
      "votes": 0
    },
    {
      "ref": "phylake1337/99-loss-simple-sol-using-u-net-keras-tf",
      "votes": 26
    },
    {
      "ref": "iampaliwal/segment-with-fastai",
      "votes": 9
    },
    {
      "ref": "saeedtqp/data-visualization",
      "votes": 6
    },
    {
      "ref": "lalaboy/background-removal",
      "votes": 5
    },
    {
      "ref": "vladimirn/kernel105da461b2",
      "votes": 0
    },
    {
      "ref": "adithyakag/carvana-redo-not-working",
      "votes": 0
    },
    {
      "ref": "drobchak1988/carvana-image-masking",
      "votes": 5
    },
    {
      "ref": "cankls3/carvana-pytorch",
      "votes": 23
    },
    {
      "ref": "kraas27/segmentation",
      "votes": 3
    },
    {
      "ref": "pechkin80/kernel5518dd9529",
      "votes": 2
    },
    {
      "ref": "gaurav272333/unet-model-architecture",
      "votes": 2
    },
    {
      "ref": "gaurav272333/unet-model-training",
      "votes": 2
    },
    {
      "ref": "ingbiodanielh/caravana-segmentation",
      "votes": 6
    },
    {
      "ref": "uysimty/carvana-image-masking",
      "votes": 31
    },
    {
      "ref": "jmvictor5656/carvana-fast-ai",
      "votes": 2
    },
    {
      "ref": "srinesh/unet-implementation-of-caravana-kernel",
      "votes": 36
    },
    {
      "ref": "sreenathds/sreenath-carvana",
      "votes": 5
    },
    {
      "ref": "renatoh/solved-carvana-read-data-pucp",
      "votes": 3
    },
    {
      "ref": "renatoh/carvana-read-data-pucp",
      "votes": 6
    },
    {
      "ref": "ashishsinhaiitr/is-segnet-a-good-model-for-masking-purpose",
      "votes": 2
    },
    {
      "ref": "ashishsinhaiitr/segnet",
      "votes": 1
    },
    {
      "ref": "kmader/vgg16-u-net-on-carvana",
      "votes": 305
    },
    {
      "ref": "rainversion3/unet-carvana",
      "votes": 2
    },
    {
      "ref": "jihyeseo/image-masking-identify-boundary",
      "votes": 1
    },
    {
      "ref": "thebanzal/qwerty",
      "votes": 1
    },
    {
      "ref": "adithyakag/baseline-optimal-mask",
      "votes": 0
    },
    {
      "ref": "daiearth22/tpot-on-cervicalcancer-top10-factors",
      "votes": 0
    },
    {
      "ref": "ranjiewen/u-nets-with-keras",
      "votes": 0
    },
    {
      "ref": "adithyakag/training-a-u-net-model-in-keras-theano",
      "votes": 0
    },
    {
      "ref": "adithyakag/weighing-boundary-pixels-loss-script-by-keras2",
      "votes": 0
    },
    {
      "ref": "adithyakag/unet-with-keras-and-r",
      "votes": 0
    },
    {
      "ref": "ironbar/summary-table-of-the-best-solutions",
      "votes": 11
    },
    {
      "ref": "zusmani/baseline-2-optimal-mask",
      "votes": 25
    },
    {
      "ref": "zusmani/lb-0-35-baseline-compressed-middle-of-frame",
      "votes": 12
    },
    {
      "ref": "zusmani/baseline-optimal-mask",
      "votes": 10
    },
    {
      "ref": "friedeks/predicting-masks-using-meta-data-only",
      "votes": 3
    },
    {
      "ref": "ogurtsov/unet-with-keras-and-r",
      "votes": 25
    },
    {
      "ref": "rdebbe/is-segnet-a-good-model-for-sharp-edge-masking",
      "votes": 13
    },
    {
      "ref": "kawaitsoi/convert-images-and-masks-to-tfrecords-file",
      "votes": 11
    },
    {
      "ref": "loveall/mask-images-rle-strings-speed-test-4-methods",
      "votes": 0
    },
    {
      "ref": "kambarakun/mask-images-rle-strings-speed-test-4-methods",
      "votes": 11
    },
    {
      "ref": "jesyfax/gradient-weights",
      "votes": 3
    },
    {
      "ref": "pavelgonchar/gradient-weights",
      "votes": 19
    },
    {
      "ref": "gaborfodor/augmentation-methods",
      "votes": 148
    },
    {
      "ref": "ekami66/clear-documented-a-to-z-code",
      "votes": 33
    },
    {
      "ref": "lyakaap/weighing-boundary-pixels-loss-script-by-keras2",
      "votes": 28
    },
    {
      "ref": "kirk86/multicore-image-processing-for-training-prediction",
      "votes": 4
    },
    {
      "ref": "mlagunas/naive-unet-with-pytorch-tensorboard-logging",
      "votes": 78
    },
    {
      "ref": "danieleewww/baseline-optimal-mask-v4",
      "votes": 4
    },
    {
      "ref": "ekami66/little-eda-just-enough-to-get-started",
      "votes": 7
    },
    {
      "ref": "loveall/tpot-on-cervicalcancer-top10-factors",
      "votes": 37
    },
    {
      "ref": "loveall/tpot-learning-on-carvana-images",
      "votes": 1
    },
    {
      "ref": "netphone/how-does-the-image-scale-affect-dice-modified",
      "votes": 1
    },
    {
      "ref": "rrqqmm/even-faster-submission",
      "votes": 0
    },
    {
      "ref": "adithyakag/naive-keras",
      "votes": 0
    },
    {
      "ref": "adithyakag/notebook13971d69d5",
      "votes": 0
    },
    {
      "ref": "patelt/carvana-train-unet-2queue-tf",
      "votes": 3
    },
    {
      "ref": "rdebbe/training-a-u-net-model-in-keras-theano",
      "votes": 26
    },
    {
      "ref": "vfdev5/pil-vs-opencv",
      "votes": 142
    },
    {
      "ref": "stainsby/colour-correction-of-carvana-images",
      "votes": 4
    },
    {
      "ref": "ironbar/real-test-set-size-estimation",
      "votes": 8
    },
    {
      "ref": "marklma/data-visualization-a981b1",
      "votes": 5
    },
    {
      "ref": "uiiurz1/how-does-the-image-scale-affect-dice",
      "votes": 35
    },
    {
      "ref": "paulorzp/getting-a-car-color",
      "votes": 24
    },
    {
      "ref": "bguberfain/naive-keras-2",
      "votes": 28
    },
    {
      "ref": "allaboutdata/data-exploration-forked",
      "votes": 0
    },
    {
      "ref": "atalanteonthefly/data-viz",
      "votes": 2
    },
    {
      "ref": "akashdeepjassal/simple-solution",
      "votes": 12
    },
    {
      "ref": "alekseit/simple-bounding-boxes",
      "votes": 58
    },
    {
      "ref": "adithyakag/data-visualization",
      "votes": 0
    },
    {
      "ref": "hackxxy/u-nets-with-keras",
      "votes": 3
    },
    {
      "ref": "ecobill/u-nets-with-keras",
      "votes": 162
    },
    {
      "ref": "krishnakumarsekar/quantum-machine-learning-i-am-back",
      "votes": 7
    },
    {
      "ref": "paulorzp/run-length-encode-and-decode",
      "votes": 276
    },
    {
      "ref": "ironbar/getting-a-meaning-of-the-score",
      "votes": 29
    },
    {
      "ref": "dustni/image-format-converter",
      "votes": 2
    },
    {
      "ref": "stainsby/fast-tested-rle",
      "votes": 173
    },
    {
      "ref": "hackerpoet/ufo-fusion-reactor-art",
      "votes": 11
    },
    {
      "ref": "arseni/h5py-dataset-caching-with-shuffled-batch-generator",
      "votes": 17
    },
    {
      "ref": "hackerpoet/even-faster-run-length-encoder",
      "votes": 45
    },
    {
      "ref": "tunguz/baseline-2-optimal-mask",
      "votes": 31
    },
    {
      "ref": "zfturbo/leaky-little",
      "votes": 7
    },
    {
      "ref": "cortwave/baseline-optimal-mask-angle-opt",
      "votes": 35
    },
    {
      "ref": "bguberfain/naive-keras",
      "votes": 204
    },
    {
      "ref": "tunguz/baseline-optimal-mask",
      "votes": 5
    },
    {
      "ref": "zfturbo/baseline-optimal-mask",
      "votes": 98
    },
    {
      "ref": "bguberfain/average-mask-per-image-index",
      "votes": 7
    },
    {
      "ref": "raresbarbantan/image-and-mask-preview",
      "votes": 12
    },
    {
      "ref": "aamaia/display-sample",
      "votes": 6
    },
    {
      "ref": "vfdev5/data-visualization",
      "votes": 497
    },
    {
      "ref": "arsenyinfo/h5py-caching-for-fast-data-access",
      "votes": 31
    },
    {
      "ref": "sidharthkumar/lb-0-35-baseline-compressed-middle-of-frame",
      "votes": 2
    },
    {
      "ref": "weizhezhang/compare-model-and-trim1-in-metadata",
      "votes": 2
    },
    {
      "ref": "tunguz/baseline-compressed-middle-of-frame-lb-0-37",
      "votes": 9
    },
    {
      "ref": "paulorzp/fast-run-length-encode",
      "votes": 20
    },
    {
      "ref": "opanichev/baseline-middle-of-frame",
      "votes": 7
    },
    {
      "ref": "zfturbo/baseline-full-frame",
      "votes": 7
    }
  ]
}