datasetsconverter 0.0.1

Datasetsconverter

datasetsconverter is a Python package for converting object detection datasets between COCO, YOLO, and PASCAL VOC formats, making it easier to work with different annotation types in computer vision projects.

Installation

Install DatasetConverter using pip:

pip install datasetsconverter

Usage

Convert COCO to YOLO

Convert COCO-formatted annotations to YOLO format.

from datasetsconverter import coco_to_yolo

coco_to_yolo(
    coco_path="path/to/coco/annotations.json",
    output_dir="path/to/output/yolo",
    image_dir="path/to/coco/images"
)

Convert YOLO to COCO

Convert YOLO annotations into COCO format.

from datasetsconverter import yolo_to_coco

yolo_to_coco(
    yolo_dir="path/to/yolo/labels",
    output_file="path/to/output/coco/annotations.json",
    image_dir="path/to/yolo/images"
)

Convert YOLO to PASCAL VOC

Transform YOLO annotations into PASCAL VOC format.

from datasetsconverter import yolo_to_pascalvoc

yolo_to_pascalvoc(
    yolo_dir="path/to/yolo/labels",
    output_dir="path/to/output/pascalvoc",
    image_dir="path/to/yolo/images"
)

Convert PASCAL VOC to YOLO

Convert PASCAL VOC annotations into YOLO format.

from datasetsconverter import pascalvoc_to_yolo

pascalvoc_to_yolo(
    pascalvoc_dir="path/to/pascalvoc/annotations",
    output_dir="path/to/output/yolo",
    image_dir="path/to/pascalvoc/images"
)

Convert COCO to PASCAL VOC

Convert COCO annotations into PASCAL VOC format.

from datasetsconverter import coco_to_pascalvoc

coco_to_pascalvoc(
    coco_path="path/to/coco/annotations.json",
    output_dir="path/to/output/pascalvoc",
    image_dir="path/to/coco/images"
)

Convert PASCAL VOC to COCO

Convert PASCAL VOC annotations into COCO format.

from datasetsconverter import pascalvoc_to_coco

pascalvoc_to_coco(
    pascalvoc_dir="path/to/pascalvoc/annotations",
    output_file="path/to/output/coco/annotations.json",
    image_dir="path/to/pascalvoc/images"
)