Diagram Image Annotation Project

Job ID: 40214173

Budget: $10 – $30 USD

I have a set of roughly 51 – 200 technical diagrams that must be fully prepared for computer-vision training. Each image needs three things: clear class labels, accurate bounding boxes around every object of interest, and pixel-level segmentation masks.

You may work in any modern annotation platform you prefer—CVAT, Labelbox, VGG Image Annotator, or a comparable tool—as long as the final export is delivered in COCO JSON (or another widely used format we agree on before you begin). Consistency is critical; every diagram must follow the same labeling taxonomy and colour scheme so the dataset can be dropped straight into a model pipeline without extra cleaning.

Deliverables
• Labeled, boxed, and segmented versions of each diagram (51–200 images)
• One consolidated annotation file per agreed format
• A brief read-me explaining class names, file structure, and any tool-specific settings

I will provide the diagrams and an initial list of object classes immediately after kickoff. Let me know your preferred software, estimated turnaround time, and any prior examples of similar work—you’ll have my full attention, and prompt feedback, start to finish.