UAV Thermal Imagery for Inert Ordnance Screening: Multi Campaign Dataset Development,Object Detection, and Practical Recommendations
This story is from 2026-09-03. It is preserved in the archive; the latest stories are on the live feed.
arXiv:2609.01738v1 Announce Type: new Abstract: Unexploded ordnance (UXO) continues to restrict civilian access, agricultural activity, infrastructure recovery, and environmental remediation in contaminated areas around the world. This study created a multi campaign UAV thermal image data set of in…
Read the full story at arXiv cs.CV ↗
Timeline · 1 report
- 2026-09-03 04:00 · arXiv cs.CV
UAV Thermal Imagery for Inert Ordnance Screening: Multi Campaign Dataset Development,Object Detection, and Practical Recommendations
More stories
- Gemini Hacked Three Companies in First Known Breakout by Google’s AI — Wall Street Journal Technology
- Introducing Kimi K3 on Amazon Bedrock — AWS Machine Learning Blog
- Introducing Amazon SageMaker HyperPod Inference Gateway — AWS Machine Learning Blog
- Anthropic, OpenAI, SpaceXAI, Google sued over call to ‘pace’ AI development — Politico Technology
- NVIDIA CEO Jensen Huang rejects ‘AI will end the world’ claim, yet cautions ‘we should go as fast as we can but...’ — Mint AI
- AI hallucination of Chinese nuclear components almost led to US military attack — Ars Technica AI
- The new AgentCore runtime: Elastic, optimized, and consistently fast starts — AWS Machine Learning Blog
- Qwen Image 2.1 PR to ComfyUI — r/StableDiffusion
Get the daily brief of stories like this at 6:30 every morning →