Analyze a Chili Photo
Detect every chili in a single image and classify plant health in seconds. Powered by a two-stage YOLOv11 + EfficientNetV2-S pipeline.
Real-time detection
Instance segmentation with YOLOv11
Health classifier
EfficientNetV2-S binary head
Saved reports
Exportable PDF, full history
Detection accuracy
92%+
on validation set
Avg inference
~90s
per image (CPU hosted)
Pipeline
2-stage
detect + classify
Upload an image
Drop a photo or browse your files
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PNG, JPG or phone photo · auto-optimized for upload
Upload or pick a sample to enable analysis.
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Tips for accurate results
- Use natural, even lighting — avoid harsh shadows.
- Frame the plant or fruit clearly in the centre.
- Use 1024px+ photos for best detection accuracy.
Under the hood
How ChiliSense analyzes your photo
A purpose-built two-stage pipeline for fast, explainable results.
Stage 1
Detect
Instance segmentation finds every chili pepper in the frame and outputs a precise mask for each one.
Stage 2
Classify
Each detected chili is cropped and passed through a binary classifier that flags healthy vs unhealthy.
Stage 3
Report
Results are stored in your account with per-instance breakdowns and an exportable PDF report.