6326 Open source projects that are alternatives of or similar to Colab Mask Rcnn

🟣 Object detection of abstract shapes with neural networks

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This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.

Copy-paste augmentation for segmentation and detection tasks

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This repository walks you through how to Build and Run YOLOv4 Object Detections with Darknet in the Cloud with Google Colab.

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SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)

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This repository contains easy SSD(Single Shot MultiBox Detector) implemented with Pytorch and is easy to read and learn

Some experiments with object detection in PyTorch

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Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)

Almost Real-time Object Detection using Apple's CoreML and YOLO v1 -

How to create custom COCO data set for object detection

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

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

This is a tensorflow re-implementation of Feature Pyramid Networks for Object Detection.

YoloV3 Implemented in Tensorflow 2.0

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

This repository provides train＆test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

Fish detection using Open Images Dataset and Tensorflow Object Detection

Python and OpenCV based object tracking software

Physical adversarial attack for fooling the Faster R-CNN object detector

Repo for 42 days project to replicate/improve Airbnb's amenity (object) detection pipeline.

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

How to train an object detection model easy for free

FCOS: Fully Convolutional One-Stage Object Detection.

简明 SSD 目标检测模型 keras version（交通标志识别 训练部分见 dev 分支）

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

Face mask detection system using Deep learning.

How to train an object detection model with mmdetection

Deep learning codes and projects using Python

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe

Self hosted alternative to Google Photos

FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)

A simplified implemention of Faster R-CNN that replicate performance from origin paper

Siamese Mask R-CNN model for one-shot instance segmentation

🎨 Pytorch YOLO v5 训练自己的数据集超详细教程！！！ 🎨 (提供PDF训练教程下载）

Port of Single Shot MultiBox Detector to Keras

Feature Pyramid Networks for Object Detection

Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

Detectorch - detectron for PyTorch

Single Shot MultiBox Detector in TensorFlow

Data Augmentation For Object Detection

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

This easy-to-use library splits images and its bounding box annotations into tiles, both into specific sizes and into any arbitrary number of equal parts. It can also resize them, both by specific sizes and by a resizing/scaling factor.

Train a state-of-the-art yolov3 object detector from scratch!

Google Brain AutoML

Expose tensorflow-lite models via a rest API

YOLOv2 trained against custom dataset

🙄 Difficult algorithm, Simple code.

Everware is about re-useable science, it allows people to jump right in to your research code.

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Best practices of using Spark for practicing data scientists in the context of a data scientist’s standard workflow.

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repo for code published on pythondata.com