Label Commercial Electrical Panel Images for YOLO
Budget: $30 – $250 USD
I have between 50 and 200 high-resolution photographs of commercial electrical panels that need precise bounding-box annotations so I can train a YOLO object-detection model. Every photo must come back with its matching .txt file in the standard YOLO format (one line per object, class id plus normalized x, y, width, height).
These are strictly commercial switchboards, so please keep the class list relevant to what you see in this environment; we’ll final-check the names together before you start bulk work to avoid rework later.
Acceptance will be based on:
• Tight, non-overlapping boxes that fully enclose each target object.
• File names matching the original images exactly.
• A simple class-to-id mapping document (e.g., CSV or README).
If you already use tools such as LabelImg, Roboflow, or makesense.ai, that’s perfect—export in YOLO format and send the entire dataset back as a single archive. Fast turnaround and consistent accuracy are more important to me than pixel-perfect edge tracing, but sloppy or missing labels will be rejected. Let me know your expected timeline and any questions about panel components before we kick off.
These are strictly commercial switchboards, so please keep the class list relevant to what you see in this environment; we’ll final-check the names together before you start bulk work to avoid rework later.
Acceptance will be based on:
• Tight, non-overlapping boxes that fully enclose each target object.
• File names matching the original images exactly.
• A simple class-to-id mapping document (e.g., CSV or README).
If you already use tools such as LabelImg, Roboflow, or makesense.ai, that’s perfect—export in YOLO format and send the entire dataset back as a single archive. Fast turnaround and consistent accuracy are more important to me than pixel-perfect edge tracing, but sloppy or missing labels will be rejected. Let me know your expected timeline and any questions about panel components before we kick off.