0.0%
Detection precision
0
Chilies per image
0
AI models in pipeline
0s
Avg. inference time
Step 01 · Detection
YOLOv11 finds every chili
An instance-segmentation model locates and outlines each pepper in the frame, even under occlusion and dense foliage.
Step 02 · Classification
EfficientNetV2-S grades health
Each detected crop is passed to a binary classifier that scores it healthy or unhealthy with a calibrated confidence value.
Step 03 · Report
Insight you can act on
Counts, health distribution and an annotated image are compiled into a shareable report, saved to your account automatically.
Built for the field
Production-grade models wrapped in a fast, friendly interface.
Two-stage AI
Detection and classification models orchestrated in one request.
Real-time
Sub-two-second inference on full-resolution field photos.
Occlusion-robust
Segmentation handles overlapping pods and leaf cover.
Trackable
Every analysis is stored, searchable and exportable.
YOLOv11 EfficientNetV2-S FastAPI Next.js
YOLOv11 EfficientNetV2-S FastAPI Next.js