Data · dataset · 2024
Vehicle Detection in Aerial Imagery (VEDAI）
Listed in ScienceDB
我们的实验中使用了流行的航空图像中的车辆检测 （VEDAI） 数据集，其中包含从更大的犹他州自动地理参考中心 （AGRC） 数据集获得的裁剪图像。在AGRC中从相同高度收集的每张图像大约有16 000 x 16 000像素，分辨率约为每像素12.5 cm x 12.5 cm。RGB 和 IR。是同一场景中每个图像的两种模态。VEDAI 数据集由 1246 张较小的图像组成，这些图像侧重于涉及草地、高速公路、山脉和城市地区的不同背景。所有图像的大小为 1024 x 1024 或 512 x 512.任务是检测 11 类不同车辆，例如汽车、皮卡、露营和卡车。
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.space.00472 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Geomatic engineering 74%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.space.00472 | 8 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:4013 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (74%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |