Messy boxes, mixed classes, missed small targets
Open sets do not match the line. Tiny defects, occlusion, glare get skipped. Freeze a guide, then batch.
Image training data
Image labels plus damaged / restored pairs
Detection, segmentation, classification, and image repair: boxes, masks, attributes, and before/after stills. Separate delivery from video and code; same pilot-label and spot-check process. No public prices.
What you may be hitting
Public stills do not match your failure modes
Masks miss the edge
Repair and matting models eat mask quality. Edges, translucency, and shadows belong in the frozen guide.
No damaged → restored pairs
Inpainting, denoise, watermark removal need the same content broken and fixed — or a mask of what should be fixed.
Inquire