Are you working with multiband, satellite, or hyperspectral imagery that standard object detection models cant handle? I specialize in creating custom-trained models using YOLOv8 and Detectron2 tailored specifically for complex imagery with more than 3 channels (RGB, NIR, thermal, etc.).
Whether you need bounding boxes, segmentation masks, or full model deployment, Ill help you build a high-performing pipeline designed for your specific dataset and use case.
What I Offer:
- ️ Object Detection or Segmentation on Multiband, Hyperspectral, or Satellite Images
- Training of YOLOv8 / Detectron2 on 4+ band input data
- ️ Custom Dataset Preprocessing & Band Fusion
- Model Evaluation with metrics like mAP, IoU, precision, and recall
- ️ Output support for both bounding boxes and segmentation masks
- Exported Models in ONNX, TorchScript, or PyTorch format
- ️ Optional support for deployment via API (Flask/FastAPI)
Suitable For:
- Remote sensing & GIS applications
- Agriculture, land cover, or urban monitoring
- Thermal or multispectral industrial inspections
- Research in environmental or geospatial domains