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Data · dataset · 2026

Experiment original image and results

Listed in ScienceDB

Using mobile devices to collect vehicle images, a deep learning algorithm with few model parameters and high accuracy is designed to extract information, and finally judge whether the lane line and vehicle are pressed.

Description

Therefore, the data set is mainly divided into three parts: vehicle video original image, vehicle video image segmentation, network effect and vehicle detection effect. 

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Image 75% · Video 75%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
ScienceDB10.11922/sciencedb.j00104.0009911 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:engineeringmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:humanitiesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
concepts[modality].local:modality:imageenrichment · scidb cnkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:videoenrichment · scidb cnkeyword-concept-rules@1.0.0title+description (75%)
descriptionsource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/description
licensesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/rights
publication_datesource · scidb cnconnector:scidb_cn@1.0.0
titlesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/title