Data · dataset · 2026
CrowdHuman Dataset with YOLO Annotations
Listed in Teesside University Research Data Repository
The dataset contains approximately 12,000 training images, 1,500 validation** images, and 1,500 testing images**, following a standard 70% / 15% / 15% train-validation-test split.
Description
The dataset includes a single class, person, and all images are maintained in their original resolutions without resizing to preserve real-world scene characteristics. The dataset is designed for human detection in crowded environments and contains diverse scenarios with varying illumination, occlusion, motion blur, and dense pedestrian distributions.
Some images may include partially visible humans, overlapping persons, blurred regions, and complex backgrounds, making the dataset suitable for robust object detection research. This cleaned and annotated version of the dataset includes: Removal of missing, duplicate, and corrupted images. Human bounding box annotations generated using a pre-trained YOLOv8 model.
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Annotation files provided in standard YOLO .txt format for direct training compatibility. Additional annotations exported in CSV format for analysis and reuse in custom pipelines. The dataset is beginner-friendly and can be effectively used for: Human detection projects Crowd analysis research Object detection model training Educational and academic purposes Benchmarking lightweight detection frameworks
Links
Where it is published
- DOI doi.org/10.17632/tttr2h6pz4.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Computer Science & AI · Computer vision · Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Image 65%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/tttr2h6pz4.1 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:460304 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Computer Vision'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |