ID	Class	Source	Use
0	POTHOLE	RDD2022	Road damage assessment
1	CRACK	RDD2022	Road damage assessment
2	PATCH	Field collection	Maintenance tracking
3	UNPAVED_ROAD	Field collection	Surface classification
4	SPEED_BUMP	Field collection	Road furniture mapping
5	ROAD_SIGN	COCO (stop sign)	Traffic management
6	TRAFFIC_LIGHT	COCO	Intersection mapping
7	GUARDRAIL	Field collection	Safety infrastructure
8	PEDESTRIAN_CROSSING	Field collection	Pedestrian safety
9	ROAD_MARKING	Field collection	Maintenance tracking
10	MANHOLE	Field collection	Utility mapping
11	DRAINAGE	Field collection	Water management
12	VEHICLE	COCO	Traffic density
13	MOTORCYCLE	COCO	Bodaboda tracking
14	CONSTRUCTION	Field collection	Roadwork zones
15	NUMBER_PLATE	COCO synthetic + ALPR	Vehicle identification (hashed)

Training

Model: YOLOv8n (3.2M params)
Input: 320x320 RGB
Dataset: 10000 images (RDD2022 + COCO subset)
Epochs: 80
Output: (1, 20, 2100) detection tensor

Mobile Deployment

Download iris-comprehensive-v1_float32.tflite (~12MB) for iOS/Android.