🚀 Yolo Model V0.1

Metadata

• Type: Yolo
• Seed: 369
• Filter: [64, 128, 256, 512, 768]
• Kernel Size: 3
• Dropout: 0.0
• Train Size: 1280 × 1280
• Images Size: 963 × 1400

Preprocessing Images

• Auto-Orient: Applied
• Resize: Stretch to 963 × 1400
• Auto-Adjust Contrast: Using Contrast Stretching
• Grayscale: Applied

Augmentations for Images

• Outputs per training example: 3
• Flip: Horizontal, Vertical
• Blur: Up to 0.5px
• Noise: Up to 0.5% of pixels

Training data

• 283 Images (with generated images, original size 117)
• 249 for training (image set)
• 22 for validation (image set)
• 12 for test (image set)

Train Accuracy

Precision	Recall	mAP50	mAP50-95	CLS Loss	DFL Loss	Fitness
0.96808	0.9731	0.97648	0.93864	0.25748	0.98696	1.87714

Tune Accuracy

Precision	Recall	mAP50	mAP50-95	CLS Loss	DFL Loss	Fitness
0.96808	0.9731	0.97648	0.93864	0.25748	0.98696	1.87714