Data · dataset · 2026
KIIT-MiTA
Listed in Teesside University Research Data Repository
High-Resolution Drone Imagery for Military Object Detection and Recognition About Dataset Drone Images for Military Object Detection This dataset contains 1,700 high-resolution images captured by drones, annotated in the YOLO format for object detection tasks.
Description
The images span 7 distinct classes, including: Artilary Missile Radar M. Rocket Launcher Soldier Tank Vehicle 🧩 Key Features Suitable for military and security-focused research.
Includes detailed bounding box annotations for each object class. Ideal for training YOLO-based models or other object detection architectures. ⚙️ Usage This dataset is intended for educational and research purposes only. Commercial use is strictly prohibited.
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If used, proper attribution to the creator is required. 📄
Citation
If you use this dataset in your research, please cite the following paper: S. Chakrabarty, R. Chatterjee, S. Chakraborty, S. Roy Shuvo, and R. Chowdhury, "Drones in Defense: Real-Time Vision-Based Military Target Surveillance and Tracking," 2025 3rd International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC), Silchar, India, 2025, pp. 508–513, doi: 10.1109/ISACC65211.2025.10969335 🔗 Paper Link 📘 View on IEEE Xplore ⚠️
Note
This dataset was used as part of the above research publication. Please ensure proper citation if you use it in any academic or research work.
Links
Where it is published
- DOI doi.org/10.17632/drjmrf5kk5.1 ↗
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
- Inferred from text
- Image 65%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/drjmrf5kk5.1 | 8 h 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[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 |