Expand description
The YOLO26 model architecture: blocks, variants, and the assembled network. YOLO26 detection model.
Architecture reference: ultralytics/cfg/models/26/yolo26.yaml.
Returns raw DetectOutput { boxes (B, 4·A), scores (B, nc·A) } — the
training-mode layout. For inference, apply detect_decode on boxes
using the anchor grid and strides [8, 16, 32] appropriate for the
runtime input resolution.
Modules§
- blocks
- Building blocks (backbone/neck/head layers) used to assemble YOLO26.
Structs§
- Yolo26
Config - Per-variant scaling parameters derived from the yaml model definition.
Enums§
- Yolo26
Variant - YOLO26 model size variant.
Functions§
- yolo26
- YOLO26 single-head forward closure (inference or one-head training).
- yolo26_
dual - YOLO26 dual-head forward closure for training with consistent dual assignment.