Alternatives and similar repositories for Kaggle-Steel-Defect-Detection

Users that are interested in Kaggle-Steel-Defect-Detection are comparing it to the libraries listed below

• lvxiaoming2019 / GC10-DET-Metallic-Surface-Defect-Datasets
  This is the GC10-DET datasets of the upcoming paper " Deep Metallic Surface Defect Detection: the New Benchmark and Detection Network" Th…
  ☆67Updated 3 years ago
• abin24 / Magnetic-tile-defect-datasets.
  dataset of the upcoming paper "Saliency of magnetic tile surface defects"
  ☆203Updated 5 years ago
• zhengzihe / YoloX-based-on-Swin-Transformer
  以Swin Transformer作为骨干网络的YoloX目标检测项目
  ☆83Updated 3 years ago
• shanglianlm0525 / CvPytorch
  CvPytorch is an open source COMPUTER VISION toolbox based on PyTorch.
  ☆258Updated 2 weeks ago
• 2Obe / BSData
  Dataset for classification, detection and prognostics of surface defects on ball screw drives
  ☆74Updated 2 months ago
• kangpeilun / SmallObjectAugmentation-master
  鉴于该 填鸭式 方法对小目标的数据增强的详细的描述较少，故重新整理了代码，并添加了说明。按照md文件的说明，应该可以正常的运行
  ☆46Updated 7 months ago
• SongGuorong / EDRNet
  ⚡EDRNet:Encoder-Decoder Residual Network for Salient Object Detection of Strip Steel Surface Defects
  ☆56Updated 4 years ago
• bbbbby-99 / TGRNet-Surface-Defect-Segmentation
  Code and dataset of Triplet- Graph Reasoning Network for Few-shot Metal Generic Surface Defect Segmentation
  ☆46Updated 3 months ago
• yadongJiang / En_bisenetv2
  bisenetv2优化版
  ☆34Updated 2 years ago
• Eatzhy / Surface-defect-Detection-dataset
  ☆158Updated 3 years ago
• RooKichenn / AC-FPN
  pytorch复现AC-FPN，不同于官方代码，本次复现更简洁对于新手更加友好（支持灵活使用CxAM和CnAM）
  ☆21Updated 3 years ago
• siddhartamukherjee / NEU-DET-Steel-Surface-Defect-Detection
  This project is about detecting defects on steel surface using Unet. The dataset used for this project is the NEU-DET database.
  ☆121Updated 4 years ago
• bubbliiiing / object-detection-augmentation
  这里面存放了一些目标检测算法的数据增强方法。如mosaic、mixup。
  ☆168Updated 2 years ago
• jstudy / Awesome-Defect-Detection
  ☆48Updated 3 years ago
• vicoslab / mixed-segdec-net-comind2021
  Official PyTorch implementation for "Mixed supervision for surface-defect detection: from weakly to fully supervised learning"
  ☆314Updated 3 years ago
• XingZeng307 / YOLOv5_with_BiFPN
  ☆79Updated 4 years ago
• LeeWise9 / Segmentation-Based-Surface-Defect-Detection
  This is a deep learning application project in the industrial field, intended to detect defects on the workpiece surface. The code is bas…
  ☆85Updated 5 years ago
• guchengxi1994 / mask2json
  a small tool for image augmentation, including mask files to json/xml files , image augmentation(flip,rotation,noise,...) and so on
  ☆60Updated 2 years ago
• LabSAINT / SPD-Conv
  Code for ECML PKDD 2022 paper: No More Strided Convolutions or Pooling: A Novel CNN Architecture for Low-Resolution Images and Small Obje…
  ☆258Updated 11 months ago
• ShuaiLYU / A_surface_defect_detection_based_on_positive_samples
  generate randomly defects on positive samples and restore them with GAN.
  ☆40Updated 4 years ago
• bubbliiiing / hrnet-pytorch
  这是一个hrnet-pytorch的库，可用于训练自己的语义分割数据集
  ☆149Updated 2 years ago
• murufeng / EPSANet
  ☆305Updated 3 years ago
• QY1994-0919 / CFPNet
  Centralized Feature Pyramid for Object Detection
  ☆251Updated 2 years ago
• MingboHong / SSPNet
  SSPNet: Scale Selection Pyramid Network for Tiny Person Detection from UAV Images.
  ☆58Updated last year
• hnuzhy / SSDA-YOLO
  [CVIU2023] Codes for my paper "SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object Detection"
  ☆211Updated 2 years ago
• pureyangcry / tools
  ImgEnhance For Obejct Detection tool
  ☆136Updated 6 years ago
• chuliuT / Tianchi_Fabric_defects_detection
  广东工业智造大赛--布匹瑕疵检测复赛代码
  ☆186Updated 5 years ago
• hukaixuan19970627 / DOTA_devkit_YOLO
  Trans DOTA OBB format(poly format) to YOLO format.
  ☆217Updated 4 years ago
• zhengye1995 / Tianchi-2021-Guangdong-Tile-Detection
  天池2021广东工业智能制造大赛瓷砖瑕疵检测极客奖方案
  ☆80Updated 3 years ago
• sunanlin13174 / Image-train-Swin-transformer
  基于Swin-transformer训练图像分类并部署web端
  ☆94Updated 3 years ago