Overview This repository contains three deep learning segmentation models designed to detect and localize selected types of vegetation and crop damage from aerial imagery. The models are based on the YOLOv11‑seg (YOLO‑seg) architecture and were trained on a diverse set of real-world drone acquisitions collected across multiple agricultural and forestry locations.The models support automated identification of: damage to winter rapeseed (early‑stage drought symptoms), machinery‑induced crop disturbance, pest‑related damage in spruce stands. Purpose and Application Manual assessment of vegetation damage in aerial imagery is time‑consuming, subjective, and difficult to scale. These models enable consistent, repeatable, and automated segmentation of damaged areas, supporting downstream workflows in precision agriculture, forestry monitoring, insurance analytics, and decision support systems. The output masks can be directly used in GIS systems, mapping pipelines, agronomic analysis, and automated reporting tools. Methods All models use the YOLOv11 segmentation architecture and were trained on orthomosaics derived from drone‑based RGB and multispectral acquisitions. The dataset consists exclusively of real, non‑synthetic imagery, collected under varying conditions and environmental influences.Training included standard augmentation, quality control, and validation on manually annotated masks. Content of the Repository The Zenodo record includes: Three YOLOv11‑seg segmentation models (PyTorch checkpoints) OpenAPI 3.0 specification describing the inference REST API Integration documentation A publicly accessible REST API service is available for automated inference. Its endpoints, payload structure, and response formats are fully documented in the included OpenAPI file. Model Detected Damage Type Target Crop / Vegetation Model File Rapeseed – Early Stage Identification of crop damage with emphasis on drought symptoms Winter rapeseed yolo11l_repka.pt Rapeseed – Machinery Damage Damage caused by agricultural machinery movement within the crop Winter rapeseed yolo11m_pojezdove_skody.pt Spruce Tree vegetation damage caused by pests Spruce stands yolo11l_smrk.pt Funding Acknowledgment This work was supported by the National Recovery Plan and the Ministry of Regional Development of the Czech Republic.Project registration number: CZ.31.6.0/0.0/0.0/23_087/0008918