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Tensorflow Faster RCNN for Object Detection

Mask RCNN in TensorFlow

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

✏️ Web-based image segmentation tool for object detection, localization and keypoints

Object Detection

PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC

To speedup and simplify image labeling/ annotation process with multiple supported formats.

Visual Question Answering in Pytorch

convert dataset to coco/voc format

Helper functions to create COCO datasets

仿coco点餐系统的微信小程序

Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)

Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models

The official homepage of the (outdated) COCO-Stuff 10K dataset.

Deformable Convolutional Networks + MST + Soft-NMS

Computer vision based ML training data generation tool 🚀

various tools such as label-tools , data-augmentation , etc.

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.

Image Captions Generation with Spatial and Channel-wise Attention

person detect based on yolov3 with several Python scripts

Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core

This is a tensorflow re-implementation of Faster R-CNN: Towards Real-Time ObjectDetection with Region Proposal Networks.

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FCOS: Fully Convolutional One-Stage Object Detection.

A Clone version from Original SegCaps source code with enhancements on MS COCO dataset.

Chainer Implementation of Mask R-CNN. (Training code to reproduce the original result is available.)

COCO API - Dataset @ http://cocodataset.org/