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Comparison of Annotation Formats

Technical information and the difference between Microsoft COCO (Common Objects in Context) .JSON and YOLO Darknet .TXT Annotation Formats





General

62

Score

46

Score

Winner
Publication 2014 2015
Example
{
    "info": {
        "year": "2021",
        "version": "1.0",
        "description": "Exported from NanoML.org",
        "contributor": "Peter",
        "url": "https://NanoML.org/datasets/test",
        "date_created": "2021-04-10T14:54:31+00:00"
    },
    "licenses": [
        {
	"url": "http://creativecommons.org/licenses/by-nc-sa/2.0/",
	"id": 1,
	"name": "Attribution-NonCommercial-ShareAlike License"
	}
    ],
    "categories": [
        {
	"id": 1,
	"name": "Car",
	"supercategory": "vehicle"
        }
    ],
    "images": [
        {
	"id": 0,
	"license": 1,
	"file_name": "000001.png",
	"height": 292,
	"width": 400,
	"date_captured": "2021-04-10T14:54:31+00:00"
    ],
    "annotations": [
        {
	"id": 0,
	"image_id": 0,
	"category_id": 1,
	"bbox": [
	128,
	259,
	103,
	30
	],
	"area": 3090,
	"segmentation": [],
	"iscrowd": 0
        }
    ]
}
                                                                                                        
0 0.643 0.5522388059701493 0.386 0.1791044776119403
                                                                                                        
Properties
min. Size 1.05 kB 0.06 kB
Size per additional object 0.3 kB 0.05 kB
File Format .JSON .TXT
Human readability Okay Bad
Popularity
Google Trends Popularity Good Very Good
Model availability Good Very Good
Structure
Uses normalized values
One Annotation File per Image
LabelMap required
Supported Types
Bounding Box Support
Polygonal Segmentation Support
Dot annotation Support
Other
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