All Projects → DataLoaderX → datasetsome

DataLoaderX / datasetsome

Licence: MIT license
一些数据集处理相关的 API

Programming Languages

Jupyter Notebook
11667 projects

Projects that are alternatives of or similar to datasetsome

Pytorch Imagenet Cifar Coco Voc Training
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.
Stars: ✭ 130 (+251.35%)
Mutual labels:  coco
Unidet
Object detection on multiple datasets with an automatically learned unified label space.
Stars: ✭ 217 (+486.49%)
Mutual labels:  coco
cisip-FIRe
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.
Stars: ✭ 40 (+8.11%)
Mutual labels:  coco
Faster Rcnn tensorflow
This is a tensorflow re-implementation of Faster R-CNN: Towards Real-Time ObjectDetection with Region Proposal Networks.
Stars: ✭ 142 (+283.78%)
Mutual labels:  coco
Nas fpn tensorflow
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.
Stars: ✭ 198 (+435.14%)
Mutual labels:  coco
Jumpserver
JumpServer 是全球首款开源的堡垒机,是符合 4A 的专业运维安全审计系统。
Stars: ✭ 17,563 (+47367.57%)
Mutual labels:  coco
Efficientdet.pytorch
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
Stars: ✭ 1,383 (+3637.84%)
Mutual labels:  coco
pylabel
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.
Stars: ✭ 171 (+362.16%)
Mutual labels:  coco
Yolo person detect
person detect based on yolov3 with several Python scripts
Stars: ✭ 212 (+472.97%)
Mutual labels:  coco
xtcocoapi
Extended COCO-API
Stars: ✭ 49 (+32.43%)
Mutual labels:  coco
Repo 2018
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
Stars: ✭ 163 (+340.54%)
Mutual labels:  coco
Sca Cnn.cvpr17
Image Captions Generation with Spatial and Channel-wise Attention
Stars: ✭ 198 (+435.14%)
Mutual labels:  coco
Yolo-to-COCO-format-converter
Yolo to COCO annotation format converter
Stars: ✭ 176 (+375.68%)
Mutual labels:  coco
Up Detr
[CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
Stars: ✭ 126 (+240.54%)
Mutual labels:  coco
deep utils
An open-source toolkit which is full of handy functions, including the most used models and utilities for deep-learning practitioners!
Stars: ✭ 73 (+97.3%)
Mutual labels:  coco
Coco
The fastest crypto online
Stars: ✭ 103 (+178.38%)
Mutual labels:  coco
Cocostuff10k
The official homepage of the (outdated) COCO-Stuff 10K dataset.
Stars: ✭ 248 (+570.27%)
Mutual labels:  coco
PyTorch-Spiking-YOLOv3
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.
Stars: ✭ 144 (+289.19%)
Mutual labels:  coco
FCOS GluonCV
FCOS: Fully Convolutional One-Stage Object Detection.
Stars: ✭ 24 (-35.14%)
Mutual labels:  coco
DiscoBox
The Official PyTorch Implementation of DiscoBox.
Stars: ✭ 95 (+156.76%)
Mutual labels:  coco

数据之家

GitHub issues GitHub forks GitHub stars GitHub license GitHub repo size

本项目主要用于记录与数据处理相关的资源,同时您可以进入 mybinder: datasetsome 进行线编辑。为了将数据和代码以及文档分离,本项目将一些数据集存放在子模块 SimpleDataset 之中,而将代码存放在子模块 loader 之中。

数据集处理

本项目的使用说明

因为本项目包含子模块,所以在克隆时,您可以选择使用命令:

$ git clone --recursive https://github.com/DataLoaderX/datasetsome

直接下载项目并更新仓库中的每一个子模块。

如果您不想在克隆仓库时下载子模块,您只需要运行下面的命令即可:

$ git clone https://github.com/DataLoaderX/datasetsome

待您将项目下载到您的电脑后,输入命令:

$ git submodule init
$ git submodule update

拉取子模的更新。

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].