AI-Powered Image Tagging & Annotation for Computer Vision
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About this service
Summary
FAQs
What tools do you use for annotation?
CVAT, Label Studio, Azure, or custom Python scripts based on the task.
Can you follow a custom labeling guideline?
Yes, all guidelines are strictly followed after client approval.
Do you support large-scale datasets?
Yes, including batch delivery and milestone-based review.
What formats can you export annotations in?
COCO, YOLO, Pascal VOC, CSV, JSON, or any custom format.
What's included
Annotated Image Dataset
Labeled images in the requested format (COCO, YOLO, VOC, CSV, JSON) with accurate annotations based on your specifications, ready for direct use in ML training pipelines.
Visual Preview Files
Overlay images showing annotations on original images for visual verification, delivered in PNG or JPEG format.
Bounding Box Annotations
Precisely labeled bounding boxes around objects of interest within images, provided in your chosen format (COCO, YOLO, Pascal VOC, or custom schema), structured for compatibility with object detection models.
Metadata File
Supplementary file containing image-level metadata: image dimensions, tag distributions, annotation counts, and class frequencies.
Skills and tools
Industries