557 Open source projects that are alternatives of or similar to Wheat

Data Annotation, Data Labeling, Annotation Tooling, Training Data for Machine Learning

📊 Benchmark multiple object trackers (MOT) in Python

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

Code for 3D object detection for autonomous driving

A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

Real-time Detectron using webcam.

OpenCV-Python4.1 中文文档

Solution to Kaggle - Web Traffic Time Series Forecasting

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

MIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.

DSOD: Learning Deeply Supervised Object Detectors from Scratch. In ICCV 2017.

This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-detection algorithm.

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

Kaggle-like machine learning competition platform

FreeAnchor: Learning to Match Anchors for Visual Object Detection (NeurIPS 2019)

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

CenterMask : Real-Time Anchor-Free Instance Segmentation, in CVPR 2020

MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.

Fast and accurate object detection with end-to-end GPU optimization

The code of our paper: 'Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples', in Tensorflow.

Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)

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.

Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.

Python framework that facilitates the quick development of complex video analysis applications and other series-processing based applications in a multiprocessing environment.

Real-time object detection on Android using the YOLO network with TensorFlow

Hierarchical Shot Detector (ICCV2019)

Real-time Anchor-Free Instance Segmentation, in CVPR 2020

Utilities to use tensorflow object detction api with a yolo like dataset

https://www.kaggle.com/c/humpback-whale-identification

SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)

🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

🎥 iOS11 demo application for dominant objects detection.

Two-stage CenterNet

Caffe implementation of multiple popular object detection frameworks

Full implementation of YOLOv3 in PyTorch

High level network definitions with pre-trained weights in TensorFlow

(Pretrained weights provided) EfficientDet: Scalable and Efficient Object Detection implementation by Signatrix GmbH

This is a repo for training and implementing the mobilenet-ssd v2 to tflite with c++ on x86 and arm64

I transfer the backend of yolov3 into Mobilenetv1，VGG16，ResNet101 and ResNeXt101

High quality, fast, modular reference implementation of SSD in PyTorch

mmdetection源码注释

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

hydra

A photo OCR project aims to output DMS messages contained in sign structure images.

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

🚖 Object Detection (YOLOv1) implentation in tensorflow, with training, testing and video features.

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

Annotation tool for YOLO in opencv

The ROS Package of Mask R-CNN for Object Detection and Segmentation

An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.

Using RetinaNet for object detection from drone images in Teknofest istanbul 2019 Artificial Intelligence Competition

A general 3D object detection codebse.

Run 3 scripts to (1) Synthesize images (by putting few template images onto backgrounds), (2) Train YOLOv3, and (3) Detect objects for: one image, images, video, webcam, or ROS topic.