CUSTOM GRADEIMAGE
Retail & Product Vision Data
Product imagery, shelf scenes, and barcode contexts with structured annotations for retail computer-vision models.
- Domains
- Product · Shelf · OCR
- Quality
- Multi-layer QC
- Availability
- Sample clips on request
[ OVERVIEW ]
Visual data built for retail AI: individual product photography, real-world shelf scenes captured under natural retail lighting, barcode and label imagery for OCR training, and damage-detection sets. Annotations cover product classification, bounding boxes, pixel-level segmentation, attribute tagging, and barcode region extraction. Consented imagery with retail-context metadata on every file. Built for planogram compliance, checkout automation, inventory tracking, and damage-claim AI.
[ KEY HIGHLIGHTS ]
- Individual product photography on controlled backgrounds
- Real shelf scenes captured under natural retail lighting
- Barcode and label imagery for OCR and region extraction
- Attribute taxonomies for brand, SKU, variant, and condition tags
- Damage-state imagery for returns and claims AI
- Retail-context metadata: store type, aisle, lighting condition
- Licensed per use case (planogram / checkout / inventory / damage) or across the full retail set
[ TECHNICAL SPECIFICATIONS ]
- Files
- JPEG or PNG, full resolution, with EXIF intact for retail-context signals
- Annotations
- Classification · bounding boxes · segmentation masks · attribute tags · barcode regions
- Schema
- COCO JSON · Pascal VOC · YOLO · custom retail-specific schemas
- Licensing
- Commercial training rights · per-use-case or full-set · custom attribute taxonomies on request
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