I will do image annotation, bounding box, polygon and data labeling for ai datasets
AI Data Annotation Contributor
About this Gig
Hi! I'm Ares.exe, specialist in professional **image annotation** and **data labeling** for AI/ML datasets.
Building a strong computer vision model? Accurate labeled data is key. I provide high-quality, manual annotation to make your dataset ready for training (object detection, segmentation, classification).
What I Offer:
Precise **Bounding Box** annotation
Detailed **Polygon** annotation (for irregular shapes)
Multi-class labeling
Image classification if needed
Tools I Use:
- CVAT
- Roboflow
Output Formats Included:
- YOLO TXT (normalized)
- COCO JSON
- Pascal VOC XML
- Custom formats on request
Why Me?
100% manual no auto shortcuts
High accuracy & consistency (double-checked)
Fast delivery + rush option
Unlimited minor revisions on higher packages
Experience with large datasets (contact for 5k+ images)
Packages start from $5 for 250 items. Need bulk (10k50k images)? Message me for custom quote & team support.
Let's build perfect datasets for your AI project! Order now or chat first for details.
Best,
Ares.exe
Technique:
Manual
Tagging type:
Image
FAQ
Question: What types of annotation do you provide?
Answer: I offer manual bounding box annotation (for object detection), polygon annotation (for precise segmentation of irregular shapes), and basic image classification. All annotations are done manually for high accuracy.
Question: What output formats do you support?
Answer: Standard formats included in all packages: YOLO TXT (normalized), COCO JSON, and Pascal VOC XML. Custom formats (e.g., Roboflow-ready, LabelStudio JSON, CSV) are available as gig extra.
Question: Can you handle large datasets?
Answer: Yes! I can manage datasets from hundreds to 10k–50k+ images with team support. For large projects (5,000+ images), please message me first for a custom quote, timeline, and quality plan
Question: What tools do you use for annotation?
Answer: I use professional tools like CVAT and Roboflow to ensure precision, consistency, and easy export compatibility with most ML frameworks (YOLO, Detectron2, TensorFlow, PyTorch, etc.).
Question: How accurate is your annotation?
Answer: I aim for high accuracy (typically 95%+ IoU for bounding boxes/polygons). Every annotation is double-checked for quality. Unlimited minor revisions are included in Standard & Premium packages, or you can add extra revisions.
Question: Do you offer rush delivery?
Answer: Yes, extra fast delivery is available as a gig extra: 1 day for Basic, 2 days for Standard, and 3–4 days for Premium (depending on volume). Just add it to your order or message me to discuss. Tips Saat Isi FAQTambah 5-6 FAQ dulu (jangan terlalu banyak biar gak overwhelming). Jawaban jangan
