350 Open source projects that are alternatives of or similar to DetectionMetrics

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

Training examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

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

person detect based on yolov3 with several Python scripts

Focal Loss for Dense Object Detection.

Keras/Tensorflow attention models including beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,efficientnet,fbnet,gmlp,halonet,lcnet,levit,mlp-mixer,mobilevit,nfnets,regnet,resmlp,resnest,resnext,resnetd,swin,tinynet,uniformer,volo,wavemlp,yolor,yolox

Label images and video for Computer Vision applications

Fast Image Retrieval (FIRe) is an open source project to promote image retrieval research. It implements most of the major binary hashing methods to date, together with different popular backbone networks and public datasets.

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

Convert JSON annotations into YOLO format.

Object Detection

PSPNet in Chainer

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

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

A PyTorch implementation of Spiking-YOLOv3. Two branches are provided, based on two common PyTorch implementation of YOLOv3(ultralytics/yolov3 & eriklindernoren/PyTorch-YOLOv3), with support for Spiking-YOLOv3-Tiny at present.

Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

📈📈📈【口罩佩戴检测数据训练 | 开源口罩检测数据集和预训练模型】Train D/CIoU_YOLO_V3 by darknet for object detection

Train faster rcnn on imagine dataset, related blog post: https://andrewliao11.github.io/object/detection/2016/07/23/detection/

Bottleneck Transformers for Visual Recognition

73.6% GhostNet 1.0x pre-trained model on ImageNet

Tools for object detection annotations in machine learning

License plate parsing using Darknet and YOLO

Parametric Contrastive Learning (ICCV2021)

🤖 Cozmo the Robot recognizes objects with TensorFlow

An open-source toolkit which is full of handy functions, including the most used models and utilities for deep-learning practitioners!

Scripts to work with LMDB + PyTorch for Imagenet training

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

Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"

Pendeteksian rambu lalu lintas khas Indonesia menggunakan dataset custom dan menggunakan algoritma Deep Learning You Only Look Once v4

Unseen Object Segmentation in Videos via Transferable Representations, ACCV 2018 (oral)

Implementatoin of object detection using Tensorflow 2.1.0 | this can be use in a car for object detection

Extended COCO-API

Python library for computer vision labeling tasks. The core functionality is to translate bounding box annotations between different formats-for example, from coco to yolo.

Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification

DroNet: Efficient convolutional neural network detector for Real-Time UAV applications

Visualize YOLO feature map in prediction for easily checking your model performance

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

No description or website provided.

Referring Expression Object Segmentation with Caption-Aware Consistency, BMVC 2019

Implementation of Weakly Supervised Deep Detection Networks using the latest version of PyTorch

C development system for (Nitr)OS9/6x09, with source

some tools about pascal voc format dataset

Incomplete example of free market running on ETH blockchain for educational purposes only

Darknet with NNPACK

[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

Xception implemented with caffe

The Official PyTorch Implementation of DiscoBox.

Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr . a tool to do automatically object segmentation from extreme points.

ImageNet model implemented using the Keras Functional API

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

custom implementation alexnet with tensorflow

Deeplab for semantic segmentation tasks

Convolutional Neural Networks

Nested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf

A simple utility programe to visualize pascal voc (format) dataset images with bounding boxes. Useful to check whether there is any error in forming annotation files.

PyTorch implementation of EfficientNetV2 family

一些数据集处理相关的 API