[
  {
    "id": "yolov5-face-detection",
    "name": "YOLOv5 Face Detection",
    "description": "Real-time face detection model based on YOLOv5 architecture, optimized for edge deployment on Kneron KL720. Detects faces with high accuracy in various lighting conditions.",
    "thumbnail": "/images/models/yolov5-face.png",
    "taskType": "object_detection",
    "categories": ["face", "security", "people"],
    "framework": "ONNX",
    "inputSize": {"width": 640, "height": 640},
    "modelSize": 14200000,
    "quantization": "INT8",
    "accuracy": 0.92,
    "latencyMs": 33,
    "fps": 30,
    "supportedHardware": ["KL720", "KL730"],
    "labels": ["face"],
    "version": "1.0.0",
    "author": "Kneron",
    "license": "Apache-2.0",
    "createdAt": "2024-01-15T00:00:00Z",
    "updatedAt": "2024-06-01T00:00:00Z"
  },
  {
    "id": "imagenet-classification",
    "name": "ImageNet Classification (ResNet18)",
    "description": "ResNet18-based image classification model trained on ImageNet. Supports 1000 object categories with efficient inference on KL520 edge devices.",
    "thumbnail": "/images/models/imagenet-cls.png",
    "taskType": "classification",
    "categories": ["general", "image-classification"],
    "framework": "ONNX",
    "inputSize": {"width": 224, "height": 224},
    "modelSize": 12000000,
    "quantization": "INT8",
    "accuracy": 0.78,
    "latencyMs": 15,
    "fps": 60,
    "supportedHardware": ["KL520", "KL720", "KL730"],
    "labels": ["airplane", "automobile", "bird", "cat", "deer", "dog", "frog", "horse", "ship", "truck"],
    "filePath": "data/nef/kl520/kl520_20001_resnet18_w224h224.nef",
    "version": "2.1.0",
    "author": "Kneron",
    "license": "MIT",
    "createdAt": "2024-02-10T00:00:00Z",
    "updatedAt": "2024-07-15T00:00:00Z"
  },
  {
    "id": "person-detection",
    "name": "Person Detection",
    "description": "Lightweight person detection model optimized for real-time surveillance and people counting. Low latency with high accuracy on person class.",
    "thumbnail": "/images/models/person-det.png",
    "taskType": "object_detection",
    "categories": ["people", "security", "surveillance"],
    "framework": "ONNX",
    "inputSize": {"width": 416, "height": 416},
    "modelSize": 11800000,
    "quantization": "INT8",
    "accuracy": 0.89,
    "latencyMs": 28,
    "fps": 35,
    "supportedHardware": ["KL720", "KL730"],
    "labels": ["person"],
    "version": "1.2.0",
    "author": "Kneron",
    "license": "Apache-2.0",
    "createdAt": "2024-03-01T00:00:00Z",
    "updatedAt": "2024-08-01T00:00:00Z"
  },
  {
    "id": "vehicle-classification",
    "name": "Vehicle Classification",
    "description": "Vehicle type classification model that identifies cars, trucks, buses, motorcycles, and bicycles. Ideal for traffic monitoring and smart parking.",
    "thumbnail": "/images/models/vehicle-cls.png",
    "taskType": "classification",
    "categories": ["vehicle", "traffic", "transportation"],
    "framework": "ONNX",
    "inputSize": {"width": 224, "height": 224},
    "modelSize": 6200000,
    "quantization": "INT8",
    "accuracy": 0.85,
    "latencyMs": 12,
    "fps": 75,
    "supportedHardware": ["KL520", "KL720", "KL730"],
    "labels": ["car", "truck", "bus", "motorcycle", "bicycle"],
    "version": "1.0.0",
    "author": "Kneron",
    "license": "MIT",
    "createdAt": "2024-03-20T00:00:00Z",
    "updatedAt": "2024-05-10T00:00:00Z"
  },
  {
    "id": "hand-gesture-recognition",
    "name": "Hand Gesture Recognition",
    "description": "Recognizes 10 common hand gestures in real-time. Suitable for touchless interfaces and gesture-based control systems.",
    "thumbnail": "/images/models/hand-gesture.png",
    "taskType": "classification",
    "categories": ["gesture", "hand", "interaction"],
    "framework": "ONNX",
    "inputSize": {"width": 224, "height": 224},
    "modelSize": 5800000,
    "quantization": "INT8",
    "accuracy": 0.88,
    "latencyMs": 18,
    "fps": 50,
    "supportedHardware": ["KL520", "KL720"],
    "labels": ["thumbs_up", "thumbs_down", "open_palm", "fist", "peace", "ok", "pointing", "wave", "grab", "pinch"],
    "version": "1.1.0",
    "author": "Kneron",
    "license": "Apache-2.0",
    "createdAt": "2024-04-05T00:00:00Z",
    "updatedAt": "2024-09-01T00:00:00Z"
  },
  {
    "id": "coco-object-detection",
    "name": "COCO Object Detection",
    "description": "General-purpose object detection model trained on COCO dataset. Detects 80 common object categories including people, animals, vehicles, and household items.",
    "thumbnail": "/images/models/coco-det.png",
    "taskType": "object_detection",
    "categories": ["general", "multi-object", "coco"],
    "framework": "ONNX",
    "inputSize": {"width": 640, "height": 640},
    "modelSize": 23500000,
    "quantization": "INT8",
    "accuracy": 0.82,
    "latencyMs": 45,
    "fps": 22,
    "supportedHardware": ["KL720", "KL730"],
    "labels": ["person", "bicycle", "car", "motorcycle", "airplane", "bus", "train", "truck", "boat", "traffic light", "fire hydrant", "stop sign", "parking meter", "bench", "bird", "cat", "dog", "horse", "sheep", "cow"],
    "version": "3.0.0",
    "author": "Kneron",
    "license": "Apache-2.0",
    "createdAt": "2024-01-01T00:00:00Z",
    "updatedAt": "2024-10-01T00:00:00Z"
  },
  {
    "id": "face-mask-detection",
    "name": "Face Mask Detection",
    "description": "Detects whether a person is wearing a face mask, wearing it incorrectly, or not wearing one. Built for health compliance monitoring.",
    "thumbnail": "/images/models/face-mask.png",
    "taskType": "object_detection",
    "categories": ["face", "health", "safety"],
    "framework": "ONNX",
    "inputSize": {"width": 320, "height": 320},
    "modelSize": 9800000,
    "quantization": "INT8",
    "accuracy": 0.91,
    "latencyMs": 22,
    "fps": 45,
    "supportedHardware": ["KL720", "KL730"],
    "labels": ["mask_on", "mask_off", "mask_incorrect"],
    "version": "1.3.0",
    "author": "Kneron",
    "license": "MIT",
    "createdAt": "2024-02-28T00:00:00Z",
    "updatedAt": "2024-07-20T00:00:00Z"
  },
  {
    "id": "license-plate-detection",
    "name": "License Plate Detection",
    "description": "Detects and localizes license plates in images and video streams. Optimized for various plate formats and viewing angles.",
    "thumbnail": "/images/models/license-plate.png",
    "taskType": "object_detection",
    "categories": ["vehicle", "traffic", "ocr"],
    "framework": "ONNX",
    "inputSize": {"width": 416, "height": 416},
    "modelSize": 12400000,
    "quantization": "INT8",
    "accuracy": 0.87,
    "latencyMs": 30,
    "fps": 33,
    "supportedHardware": ["KL720", "KL730"],
    "labels": ["license_plate"],
    "version": "1.0.0",
    "author": "Kneron",
    "license": "Apache-2.0",
    "createdAt": "2024-05-15T00:00:00Z",
    "updatedAt": "2024-08-30T00:00:00Z"
  },
  {
    "id": "kl520-yolov5-detection",
    "name": "YOLOv5 Detection (KL520)",
    "description": "YOLOv5 object detection model compiled for Kneron KL520. No upsample variant optimized for NPU inference at 640x640 resolution.",
    "thumbnail": "/images/models/yolov5-det.png",
    "taskType": "object_detection",
    "categories": ["general", "multi-object"],
    "framework": "NEF",
    "inputSize": {"width": 640, "height": 640},
    "modelSize": 7200000,
    "quantization": "INT8",
    "accuracy": 0.80,
    "latencyMs": 50,
    "fps": 20,
    "supportedHardware": ["KL520"],
    "labels": ["person", "bicycle", "car", "motorcycle", "airplane", "bus", "train", "truck", "boat", "traffic light"],
    "filePath": "data/nef/kl520/kl520_20005_yolov5-noupsample_w640h640.nef",
    "version": "1.0.0",
    "author": "Kneron",
    "license": "Apache-2.0",
    "createdAt": "2024-01-01T00:00:00Z",
    "updatedAt": "2024-01-01T00:00:00Z"
  },
  {
    "id": "kl520-fcos-detection",
    "name": "FCOS Detection (KL520)",
    "description": "FCOS (Fully Convolutional One-Stage) object detection with DarkNet53s backbone, compiled for KL520. Anchor-free detection at 512x512.",
    "thumbnail": "/images/models/fcos-det.png",
    "taskType": "object_detection",
    "categories": ["general", "multi-object"],
    "framework": "NEF",
    "inputSize": {"width": 512, "height": 512},
    "modelSize": 8900000,
    "quantization": "INT8",
    "accuracy": 0.78,
    "latencyMs": 45,
    "fps": 22,
    "supportedHardware": ["KL520"],
    "labels": ["person", "bicycle", "car", "motorcycle", "airplane", "bus", "train", "truck", "boat", "traffic light"],
    "filePath": "data/nef/kl520/kl520_20004_fcos-drk53s_w512h512.nef",
    "version": "1.0.0",
    "author": "Kneron",
    "license": "Apache-2.0",
    "createdAt": "2024-01-01T00:00:00Z",
    "updatedAt": "2024-01-01T00:00:00Z"
  },
  {
    "id": "kl520-ssd-face-detection",
    "name": "SSD Face Detection (KL520)",
    "description": "SSD-based face detection with landmark localization, compiled for KL520. Lightweight model suitable for face detection and alignment tasks.",
    "thumbnail": "/images/models/ssd-face.png",
    "taskType": "object_detection",
    "categories": ["face", "security"],
    "framework": "NEF",
    "inputSize": {"width": 320, "height": 240},
    "modelSize": 1000000,
    "quantization": "INT8",
    "accuracy": 0.85,
    "latencyMs": 10,
    "fps": 100,
    "supportedHardware": ["KL520"],
    "labels": ["face"],
    "filePath": "data/nef/kl520/kl520_ssd_fd_lm.nef",
    "version": "1.0.0",
    "author": "Kneron",
    "license": "Apache-2.0",
    "createdAt": "2024-01-01T00:00:00Z",
    "updatedAt": "2024-01-01T00:00:00Z"
  },
  {
    "id": "kl520-tiny-yolov3",
    "name": "Tiny YOLOv3 (KL520)",
    "description": "Tiny YOLOv3 object detection model compiled for KL520. Compact and fast model for general-purpose multi-object detection on edge devices.",
    "thumbnail": "/images/models/tiny-yolov3.png",
    "taskType": "object_detection",
    "categories": ["general", "multi-object"],
    "framework": "NEF",
    "inputSize": {"width": 416, "height": 416},
    "modelSize": 9400000,
    "quantization": "INT8",
    "accuracy": 0.75,
    "latencyMs": 35,
    "fps": 28,
    "supportedHardware": ["KL520"],
    "labels": ["person", "bicycle", "car", "motorcycle", "airplane", "bus", "train", "truck", "boat", "traffic light"],
    "filePath": "data/nef/kl520/kl520_tiny_yolo_v3.nef",
    "version": "1.0.0",
    "author": "Kneron",
    "license": "Apache-2.0",
    "createdAt": "2024-01-01T00:00:00Z",
    "updatedAt": "2024-01-01T00:00:00Z"
  },
  {
    "id": "kl720-yolov5-detection",
    "name": "YOLOv5 Detection (KL720)",
    "description": "YOLOv5 object detection model compiled for Kneron KL720. No upsample variant optimized for KL720 NPU inference at 640x640 resolution with USB 3.0 throughput.",
    "thumbnail": "/images/models/yolov5-det.png",
    "taskType": "object_detection",
    "categories": ["general", "multi-object"],
    "framework": "NEF",
    "inputSize": {"width": 640, "height": 640},
    "modelSize": 10168348,
    "quantization": "INT8",
    "accuracy": 0.82,
    "latencyMs": 30,
    "fps": 33,
    "supportedHardware": ["KL720"],
    "labels": ["person", "bicycle", "car", "motorcycle", "airplane", "bus", "train", "truck", "boat", "traffic light"],
    "filePath": "data/nef/kl720/kl720_20005_yolov5-noupsample_w640h640.nef",
    "version": "1.0.0",
    "author": "Kneron",
    "license": "Apache-2.0",
    "createdAt": "2024-01-01T00:00:00Z",
    "updatedAt": "2024-01-01T00:00:00Z"
  },
  {
    "id": "kl720-resnet18-classification",
    "name": "ImageNet Classification ResNet18 (KL720)",
    "description": "ResNet18-based image classification compiled for KL720. Supports 1000 ImageNet categories with fast inference via USB 3.0.",
    "thumbnail": "/images/models/imagenet-cls.png",
    "taskType": "classification",
    "categories": ["general", "image-classification"],
    "framework": "NEF",
    "inputSize": {"width": 224, "height": 224},
    "modelSize": 12826804,
    "quantization": "INT8",
    "accuracy": 0.78,
    "latencyMs": 10,
    "fps": 100,
    "supportedHardware": ["KL720"],
    "labels": ["airplane", "automobile", "bird", "cat", "deer", "dog", "frog", "horse", "ship", "truck"],
    "filePath": "data/nef/kl720/kl720_20001_resnet18_w224h224.nef",
    "version": "1.0.0",
    "author": "Kneron",
    "license": "MIT",
    "createdAt": "2024-01-01T00:00:00Z",
    "updatedAt": "2024-01-01T00:00:00Z"
  },
  {
    "id": "kl720-fcos-detection",
    "name": "FCOS Detection (KL720)",
    "description": "FCOS (Fully Convolutional One-Stage) object detection with DarkNet53s backbone, compiled for KL720. Anchor-free detection at 512x512.",
    "thumbnail": "/images/models/fcos-det.png",
    "taskType": "object_detection",
    "categories": ["general", "multi-object"],
    "framework": "NEF",
    "inputSize": {"width": 512, "height": 512},
    "modelSize": 13004640,
    "quantization": "INT8",
    "accuracy": 0.80,
    "latencyMs": 30,
    "fps": 33,
    "supportedHardware": ["KL720"],
    "labels": ["person", "bicycle", "car", "motorcycle", "airplane", "bus", "train", "truck", "boat", "traffic light"],
    "filePath": "data/nef/kl720/kl720_20004_fcos-drk53s_w512h512.nef",
    "version": "1.0.0",
    "author": "Kneron",
    "license": "Apache-2.0",
    "createdAt": "2024-01-01T00:00:00Z",
    "updatedAt": "2024-01-01T00:00:00Z"
  }
]