对COCO数据进行处理的文件为coco_utils.py, 代码如下: from builtins import range import os, json import numpy as np import h5py BASE_DIR = 'cs231n/datasets/coco_captioning' #select which file will be chosen def load_coco_data(base_dir=BASE_DIR, max_train=None, pca_features=True): data ...
MS COCO数据集由Microsoft于2014年发布，已成为图像字幕的标准测试平台。数据集包含约20G的图片和500M的标签文件，标签文件标记了每个分割物的精确坐标，精度到小数点后两位。数据集的目标是场景理解，从复杂的日常场景中截取图像，并通过精确的分割进行目标定位。MS COCO数据集主要解决三个问题：目标检测、...
We introduce 3D-COCO, an extension of the original MS-COCO dataset providing 3D models and 2D-3D alignment annotations. 3D-COCO was designed to achieve computer vision tasks such as 3D reconstruction or image detection configurable with textual, 2D image, and 3D CAD model queries. We complete ...
数据名称上传日期大小下载 MS-COCO.pdf2023-02-24168.75KB 文档 IntroductionCOCO is a large-scale object detection, segmentation, and captioning dataset. COCO has several features:Object segmentationRecognition in contextSuperpixel stuff segmentation330
The MS COCO (Microsoft Common Objects in Context) dataset is a large-scale object detection, segmentation, key-point detection, and captioning dataset. The dataset consists of 328K images. Splits: The first version of MS COCO dataset was released in 201
CNN-Encoder and RNN-Decoder (Bahdanau Attention) for image caption or image to text onMS-COCOdataset. Task Description Given an image like the example below, our goal is to generate a caption such as "a surfer riding on a wave".
微软COCO2017验证集和测试集 SongyanLiu 2枚 GPL 2 3 60 2023-12-20 详情 相关项目 评论(0) 创建项目 文件列表 annotations_trainval2017.zip val2017.zip test2017.zip annotations_trainval2017.zip (241.19M) 下载 File Name Size Update Time annotations/instances_train2017.json 469785474 2017-09-02 ...
Input Data captions(1 directories) get_app chevron_right folder annotations6 files Input (14.34 GB) folder Data Sources arrow_drop_down MS COCO - Dataset arrow_drop_down folder captions arrow_right folder annotations arrow_right folder train2014...
To install: -For Matlab, add coco/MatlabApi to the Matlab path (OSX/Linux binaries provided) -For Python, run "make" under coco/PythonAPI -For Lua, run “luarocks make LuaAPI/rocks/coco-scm-1.rockspec” under coco/ About COCO API - Dataset @ http://cocodataset.org/ Resources ...