6661 Open source projects that are alternatives of or similar to Automl

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

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

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

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

Deep learning codes and projects using Python

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

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

Face detection using deep learning.

Research platform for 3D object detection in PyTorch.

PyTorch implementation of EfficientNetV2 family

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

AutoGluon: AutoML for Text, Image, and Tabular Data

How to train an object detection model easy for free

Free to use online tool for labelling photos. https://makesense.ai

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）

How to create custom COCO data set for object detection

Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering

Object detection with ssd_mobilenet and tiny-yolo (Add: YOLOv3, tflite)

YoloV3 Implemented in Tensorflow 2.0

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

🌮 Trash Annotations in Context Dataset Toolkit

Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection, CVPR2021

PyTorch Implementation of the state-of-the-art model for object detection EfficientDet [pre-trained weights provided]

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

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

FoveaBox: Beyond Anchor-based Object Detector

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

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2 https://github.com/AlexeyAB/darknet, https://github.com/pjreddie/darknet

Copy-paste augmentation for segmentation and detection tasks

Some experiments with object detection in PyTorch

SynthDet - An end-to-end object detection pipeline using synthetic data

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

A novel region proposal network for more general object detection ( including scene text detection ).

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

🟣 Object detection of abstract shapes with neural networks

Face mask detection system using Deep learning.

Deformable convolution net on Tensorflow

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

Video detection library

Video Platform for Action Recognition and Object Detection in Pytorch

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

How to run Object Detection and Segmentation on a Video Fast for Free

Self hosted alternative to Google Photos

Perception toolkit for sim2real training and validation

YOLOv2 and MobileNet_SSD detection algorithms used along with KCF object tracker

🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.

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

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

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

Fast and flexible AutoML with learning guarantees.

DataStructure(SwordOffer、LeetCode)、Deep Learning(Tensorflow、Keras、Pytorch)、Machine Learning(sklearn、spark)、AutoML、AutoDL、ModelDeploying、SQL

[ISBI'21] MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020

The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch

Keras Object Detection API with YOLK project 🍳

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

YOLOv3 implementation in TensorFlow 2.3.1

ImageNet 2015 Object Detection from Video (VID)