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The Comprehensive Cars (CompCars) dataset - 车辆精细识别数据...
来自 : yongqiang.blog.csdn.net/articl 发布时间:2021-03-25

The Comprehensive Cars (CompCars) dataset - 车辆精细识别数据集 - surveillance-nature images surveillance-nature images - 车辆颜色标注解析

(1) The surveillance data are released as “sv_data.*”.

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(2) sv_data.zip - 解压到当前文件夹 - sv_data

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(3) directory

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test_surveillance.txt
train_surveillance.txt
README
This part of data is the surveillance-nature data in the CompCars dataset.
(http://mmlab.ie.cuhk.edu.hk/datasets/comp_cars/index.html)

If you use the dataset in your work, please cite our CVPR 2015 paper:
A Large-Scale Car Dataset for Fine-Grained Categorization and Verification

Descriptions of the files are as follows:

image:
Stores all car images in the path format ‘surveillance_model_id/image_name.jpg’.

color_list.mat:
A MATLAB cell matrix containing all color annotations for each image. Each row is the annotation for one image with the first element being the path of the image and the second element being the color id. The meaning of the color ids are: -1 - unrecognized, 0 - black, 1 - white, 2 - red, 3 - yellow, 4 - blue, 5 - green, 6 - purple, 7 - brown, 8 - champagne, 9 - silver.

sv_make_model_name.mat:
A MATLAB cell matrix containing make and model names for each ‘surveillance_model_id’. For one ‘surveillance_model_id’, sv_make_model_name{surveillance_model_id,1} and sv_make_model_name{surveillance_model_id,2} are the corresponding make and model name. sv_make_model_name{surveillance_model_id,3} is the ‘model_id’ of the same model in the web-nature data. For each model in the surveillance data, there is a same model in the web-nature data.

train_surveillance.txt, test_surveillance.txt:
The train/test splits for the fine-grained classification experiments on surveillance data described in

the updated arXiv paper:
A Large-Scale Car Dataset for Fine-Grained Categorization and Verification

data_preprocessing CompCars/data_preprocessing

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mat_file_color_list.py

mat_file_color_list.py
color_list.mat

## Created by foreverstrong on 12/27/2018# !python# !/usr/bin/env python pythonEach row is the annotation for one image with the first element being the path of the image and the second element being the color id.The meaning of the color ids are:-1 - unrecognized, 0 - black, 1 - white, 2 - red, 3 - yellow, 4 - blue, 5 - green, 6 - purple, 7 - brown, 8 - champagne, 9 - silver.

本文链接: http://compmat.immuno-online.com/view-722919.html

发布于 : 2021-03-25 阅读(0)
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