I will do ai data annotation, image labeling, ocr, bounding box, and polygon annotation

I provide image annotation, bounding box, polygon annotation, semantic segmentation, OCR text annotation, object detection, image classification, text annotation, audio annotation, NER, sentiment annotation, and LLM dataset labeling for AI and machine learning projects.

I work with CVAT, Label Studio, LabelImg, Roboflow, Doccano, and client-specific annotation platforms. I can also adapt quickly to your custom annotation tools and workflows.

I can deliver annotations in COCO, YOLO, Pascal VOC (XML), JSON, CSV, TXT, and other custom formats based on your project requirements.

Yes. I have experience working on large-scale datasets, including government-funded AI research projects. I can efficiently annotate thousands of images, documents, text samples, or audio files while maintaining high quality and consistency.

Absolutely. I carefully follow your annotation instructions, class definitions, and quality standards to ensure the final dataset meets your project requirements.

Every annotation is manually reviewed for accuracy and consistency. I perform quality checks before delivery to minimize errors and provide reliable datasets for AI model training.

Yes. I respect client confidentiality and can sign a Non-Disclosure Agreement (NDA) if required. Your data will never be shared with third parties.

Yes, especially for large, complex, or custom annotation projects. Please send me your dataset, annotation guidelines, expected output format, and timeline so I can provide the best solution and an accurate delivery estimate.