[ { "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" } ]