RF-DETR
RF-DETR is a real-time object detection transformer-based architecture designed to transfer well to both a wide variety of domains and to datasets big and small.
Overview
RF-DETR is a real-time object detection transformer-based architecture designed to transfer well to both a wide variety of domains and to datasets big and small.
RF-DETR is the first real-time model to exceed 60 AP on the Microsoft COCO benchmark alongside competitive performance at base sizes. It also achieves state-of-the-art performance on RF100-VL, an object detection benchmark that measures model domain adaptability to real world problems. RF-DETR is comparable speed to current real-time objection models.
RF-DETR uses the Microsoft COCO JSON format.
Format Description
Below, learn the structure of RF-DETR.
{
"info": {
"year": "2020",
"version": "1",
"description": "Exported from roboflow.ai",
"contributor": "Roboflow",
"url": "https://app.roboflow.ai/datasets/hard-hat-sample/1",
"date_created": "2000-01-01T00:00:00+00:00"
},
"licenses": [
{
"id": 1,
"url": "https://creativecommons.org/publicdomain/zero/1.0/",
"name": "Public Domain"
}
],
"categories": [
{
"id": 0,
"name": "Workers",
"supercategory": "none"
},
{
"id": 1,
"name": "head",
"supercategory": "Workers"
},
{
"id": 2,
"name": "helmet",
"supercategory": "Workers"
},
{
"id": 3,
"name": "person",
"supercategory": "Workers"
}
],
"images": [
{
"id": 0,
"license": 1,
"file_name": "0001.jpg",
"height": 275,
"width": 490,
"date_captured": "2020-07-20T19:39:26+00:00"
}
],
"annotations": [
{
"id": 0,
"image_id": 0,
"category_id": 2,
"bbox": [
45,
2,
85,
85
],
"area": 7225,
"segmentation": [],
"iscrowd": 0
},
{
"id": 1,
"image_id": 0,
"category_id": 2,
"bbox": [
324,
29,
72,
81
],
"area": 5832,
"segmentation": [],
"iscrowd": 0
}
]
}