Alternatives and similar repositories for 2019tianchi_Agricultural_Brain_AI_Challenge

Users that are interested in 2019tianchi_Agricultural_Brain_AI_Challenge are comparing it to the libraries listed below

• vicwer / sense_classification
  rscup: 遥感图像场景分类
  ☆101Updated 5 years ago
• lin-honghui / tianchi_CountyAgriculturalBrain_top1
  TIANCHI天池 2019县域农业大脑AI挑战赛 1/1520
  ☆153Updated 4 years ago
• scrssys / semantic_segment_RSImage
  遥感影像深度学习语义分割
  ☆52Updated 5 years ago
• CarryHJR / remote-sense-quickstart
  ☆149Updated 11 months ago
• cuilunan / Unet-of-remote-sensing-image
  The semantic segmentation of remote sensing images
  ☆177Updated 6 years ago
• lcylmhlcy / Semantic-segmentation
  Semantic segmentation of remote sensing image, using DeepLabv3（PyTorch）
  ☆71Updated 5 years ago
• TachibanaYoshino / Remote-sensing-image-semantic-segmentation
  The project uses Unet-based improved networks to study Remote sensing image semantic segmentation, which is based on keras.
  ☆141Updated 5 years ago
• Epsilon123 / Semantic-Segmentation-of-Remote-Sensing-Images
  遥感图像的语义分割，分别使用Deeplab V3+(Xception 和mobilenet V2 backbone)和unet模型，keras+python
  ☆208Updated 4 years ago
• TachibanaYoshino / Remote-sensing-image-semantic-segmentation-tf2
  The remote sensing image semantic segmentation repository based on tf.keras includes backbone networks such as resnet, densenet, mobilene…
  ☆63Updated 4 years ago
• clw5180 / remote_sensing_object_detection_2019
  2019年遥感图像稀疏表征与智能分析竞赛-初赛排名26/605
  ☆64Updated 5 years ago
• Lmoer / tianchi-agricultural-semantic-segmentation
  天池2019 年县域农业大脑AI挑战赛 第11名解决方案 deeplabv3-pytorch, crf等
  ☆25Updated 5 years ago
• 1044197988 / Semantic-segmentation-of-remote-sensing-images
  遥感图像的语义分割，基于深度学习，在Tensorflow框架下，利用TF.Keras，运行环境TF2.0+
  ☆300Updated 5 years ago
• WangZhenqing-RS / 2021Tianchi_RS
  2021全国数字生态创新大赛-智能算法
  ☆76Updated 4 years ago
• huiyiygy / rssrai2019_semantic_segmentation
  2019年遥感图像稀疏表征与智能分析竞赛-语义分割组
  ☆29Updated 5 years ago
• Magic-chao / rssrai2019_scene_classification
  Scene classification baseline. Test Acc:90.14%
  ☆16Updated 5 years ago
• Jiangfeng-Xiong / satellite_seg
  CCF BCDI2017 卫星影像的AI分类与识别
  ☆153Updated 4 years ago
• jiankang1991 / road_extraction_remote_sensing
  Road Extraction based on U-Net architecture (CVPR2018 DeepGlobe Challenge submission)
  ☆83Updated 6 years ago
• 1044197988 / TF.Keras-Commonly-used-models
  基于Tensorflow的常用模型，包括分类分割、新型激活、卷积模块，可在Tensorflow2.X下运行。
  ☆182Updated 4 years ago
• GeneralLi95 / deepglobe_land_cover_classification_with_deeplabv3plus
  DeepGlobe Land Cover Classification Challenge遥感影像语义分割
  ☆201Updated 4 years ago
• YudeWang / UNet-Satellite-Image-Segmentation
  A Tensorflow implentation of light UNet framework for remote sensing semantic segmentation task.
  ☆143Updated 4 years ago
• Parker-Lyu / rscup2019_classifier
  rscup2019，分类赛道
  ☆32Updated 5 years ago
• tangzhenjie / semantic_segmentation_contest
  遥感图像稀疏表征与智能分析竞赛之语义分割
  ☆19Updated 5 years ago
• leeguandong / How-to-make-high-resolution-remote-sensing-image-dataset
  高分遥感影像数据集的制作
  ☆54Updated 7 years ago
• AI-Chen / Deeplab-v3-Plus-pytorch-
  Deeplab v3_Plus for semantic segmentation of remote sensing(pytorch)
  ☆46Updated 5 years ago
• czczup / UrbanRegionFunctionClassification
  第五届百度西安交大大数据竞赛 城市区域功能分类 Baseline
  ☆93Updated 3 years ago
• JasmineRain / NAIC_AI-RS
  全国人工智能大赛 华为·昇腾杯 AI+遥感影像 第14名解决方案
  ☆64Updated 4 years ago
• zetrun-liu / FCNs-for-road-extraction-keras
  Road extraction of high-resolution remote sensing images based on various semantic segmentation networks
  ☆26Updated 5 years ago
• jeffery-zhougang / DeeplabV3Plus-Keras-Retraining
  使用自己的数据集retraining DeeplabV3+
  ☆33Updated 6 years ago
• fortitude94deng / baidu-remote-sensing
  百度遥感比赛，前百分之一的实验方案
  ☆15Updated 5 years ago
• LiuDongjing / BuildingChangeDetector
  基于U-Net检测卫星图像上的新增建筑
  ☆211Updated 7 years ago