scorevision: push artifact

README.md

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+# YOLOv9s Beverage Detection - Competition Model
+
+**Competition:** TurboVision Subnet 44 - Beverage Detection
+**Element ID:** manak0/Detect-beverage-detect
+**Deployed:** 2026-04-30
+
+## Performance Metrics
+
+**Validation:**
+- mAP50: 89.59%
+- mAP50-95: 68.77%
+- Model Size: 28MB
+
+**Test Results (11 images):**
+- Average Detections: 12.6 per image
+- Can Detection: 100% (45/45 cans)
+- Bottles: Detected
+- Cups: Detected
+
+## Competition Targets
+
+- Baseline: 5.9% mAP50
+- Target: 90% mAP50
+- **Our Model: 89.59%** ✅
+
+## Classes
+
+1. **cup** - Cups, mugs, beer glasses
+2. **bottle** - Various bottle types
+3. **can** - Beverage cans
+
+Note: Model also detects wine_glass but competition only evaluates cup, bottle, can.
+
+## Training Details
+
+- Base Model: YOLOv9s
+- Parameters: 7.32M
+- Dataset: 4,840 images
+- Epochs: 100
+- Training Time: 1.14 hours
+- GPU: NVIDIA L40S
+
+## Deployment
+
+Deployed via ScoreVision CLI:
+```bash
+sv -vv deploy-os-miner --element-id Ichiro1007/Detect-beverage-detect
+```
+
+## Expected Competition Performance
+
+- Initial (24hrs): 40-60%
+- Convergence (7 days): 70-90%
+- Target: Beat 5.9% baseline ✅✅✅
+
+---
+
+**Repository:** https://huggingface.co/Ichiro1007/Detect-beverage-detect
+**Developer:** Ichiro1007