The first to adopt the YOLOF model on a metal defect NEU-DET dataset. Using several image preprocessing methods, including Edge Detection, Denoising, Sharpening, and SR, were experimented on the me…

VarifocalNet: An IoU-aware Dense Object Detector

A PCB defect dataset.

TOOD: Task-aligned One-stage Object Detection, ICCV2021 Oral

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

A collection of deep learning based methods for HDR image synthesis

PyTorch Implementation of Global SIP 2019 Paper "FHDR: HDR Image Reconstruction from a SingleLDR Image using Feedback Network"

Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

SwinIR: Image Restoration Using Swin Transformer (official repository)

Collection of popular and reproducible image denoising works.

Training PyTorch Faster-RCNN on custom dataset

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Using detectron2 to detect PCB data.

This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper …

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

VDSR (CVPR2016) pytorch implementation

PyTorch implements "Accurate Image Super-Resolution Using Very Deep Convolutional Networks"

OpenMMLab Detection Toolbox and Benchmark

LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …

unet for image segmentation

Helmet Detection using tiny-yolo-v3 by training using your own dataset and testing the results in the google colaboratory.

A Tutorial on how to train Custom Object detection

Learn how to train a TensorFlow Custom Object Detector with TensorFlow-GPU

Models and examples built with TensorFlow

Anomaly detection data and code: a variety of rail data and industrial scene data after rearrangement