[
  {
    "Mean IoU": 50.93,
    "code_links": [],
    "date": "2019-10-01",
    "date2": 20191001,
    "model": "SkyScapesNet-Lane",
    "paper": {
      "title": "SkyScapes Fine-Grained Semantic Understanding of Aerial Scenes",
      "url": "https://cknow.io/lib/6da9f14e1d59fea4"
    },
    "paper_data_uoa": "6da9f14e1d59fea4"
  },
  {
    "Mean IoU": 13.74,
    "code_links": [
      {
        "title": "andyzeng/apc-vision-toolbox",
        "url": "https://github.com/andyzeng/apc-vision-toolbox"
      },
      {
        "title": "martinkersner/py_img_seg_eval",
        "url": "https://github.com/martinkersner/py_img_seg_eval"
      },
      {
        "title": "shenshutao/image_segmentation",
        "url": "https://github.com/shenshutao/image_segmentation"
      },
      {
        "title": "azraelzhor/tf-FCN",
        "url": "https://github.com/azraelzhor/tf-FCN"
      },
      {
        "title": "giovanniguidi/FCN-keras",
        "url": "https://github.com/giovanniguidi/FCN-keras"
      },
      {
        "title": "jqueguiner/camembert-as-a-service",
        "url": "https://github.com/jqueguiner/camembert-as-a-service"
      },
      {
        "title": "tsixta/jnet",
        "url": "https://github.com/tsixta/jnet"
      },
      {
        "title": "jqueguiner/image-segmentation",
        "url": "https://github.com/jqueguiner/image-segmentation"
      },
      {
        "title": "demul/image_segmentation_project",
        "url": "https://github.com/demul/image_segmentation_project"
      },
      {
        "title": "SDMrFeng/quiz-w10-fcn",
        "url": "https://github.com/SDMrFeng/quiz-w10-fcn"
      },
      {
        "title": "anoushkrit/Knowledge",
        "url": "https://github.com/anoushkrit/Knowledge"
      },
      {
        "title": "YigeunLee/fcn32",
        "url": "https://github.com/YigeunLee/fcn32"
      },
      {
        "title": "lanthlove/segmentation-fcn",
        "url": "https://github.com/lanthlove/segmentation-fcn"
      },
      {
        "title": "stoensin/w10-cnn-SegmentationClass",
        "url": "https://github.com/stoensin/w10-cnn-SegmentationClass"
      },
      {
        "title": "SophiaYuSophiaYu/FCN_SemanticSegmentation",
        "url": "https://github.com/SophiaYuSophiaYu/FCN_SemanticSegmentation"
      },
      {
        "title": "koryako/AI-application",
        "url": "https://github.com/koryako/AI-application"
      },
      {
        "title": "hitukensinn/quiz-w9-code",
        "url": "https://github.com/hitukensinn/quiz-w9-code"
      },
      {
        "title": "sigtot/unet-auto",
        "url": "https://github.com/sigtot/unet-auto"
      },
      {
        "title": "LeeMax117/FCN_8s",
        "url": "https://github.com/LeeMax117/FCN_8s"
      },
      {
        "title": "GodPater/model_fcn",
        "url": "https://github.com/GodPater/model_fcn"
      },
      {
        "title": "kbardool/mrcnn3",
        "url": "https://github.com/kbardool/mrcnn3"
      },
      {
        "title": "pessimiss/ai100-w9-master",
        "url": "https://github.com/pessimiss/ai100-w9-master"
      },
      {
        "title": "muramasa8191/DeepLearning",
        "url": "https://github.com/muramasa8191/DeepLearning"
      },
      {
        "title": "LeeMax117/week10_homework",
        "url": "https://github.com/LeeMax117/week10_homework"
      },
      {
        "title": "windar427/W10_work",
        "url": "https://github.com/windar427/W10_work"
      },
      {
        "title": "krutikabapat/Sematic_Segmentation_Using_Pytorch",
        "url": "https://github.com/krutikabapat/Sematic_Segmentation_Using_Pytorch"
      },
      {
        "title": "guilhermesantos/Semantic-Image-Segmentation",
        "url": "https://github.com/guilhermesantos/Semantic-Image-Segmentation"
      },
      {
        "title": "zhikunluo/semantic-segmentation-collection",
        "url": "https://github.com/zhikunluo/semantic-segmentation-collection"
      },
      {
        "title": "SethEBaldwin/FCN",
        "url": "https://github.com/SethEBaldwin/FCN"
      },
      {
        "title": "fxfviolet/FCN_for_segmantic_segmentation",
        "url": "https://github.com/fxfviolet/FCN_for_segmantic_segmentation"
      },
      {
        "title": "Niloy-Chakraborty/Image_Segmentation_Model",
        "url": "https://github.com/Niloy-Chakraborty/Image_Segmentation_Model"
      },
      {
        "title": "Muniuliuma/FCN_8s",
        "url": "https://github.com/Muniuliuma/FCN_8s"
      },
      {
        "title": "TianchengQ/FCN",
        "url": "https://github.com/TianchengQ/FCN"
      },
      {
        "title": "zhuyi55/week10",
        "url": "https://github.com/zhuyi55/week10"
      },
      {
        "title": "colorfulxd/WK10_FCN",
        "url": "https://github.com/colorfulxd/WK10_FCN"
      },
      {
        "title": "resonance20/segmenter",
        "url": "https://github.com/resonance20/segmenter"
      }
    ],
    "date": "2014-11-14",
    "date2": 20141114,
    "model": "FCN8s (ResNet-50)",
    "paper": {
      "title": "Fully Convolutional Networks for Semantic Segmentation",
      "url": "https://cknow.io/lib/d657944208000a35"
    },
    "paper_data_uoa": "d657944208000a35"
  }
]