Quality Analysis
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BAPE Camo & Skull Graphic T-Shirt Quality Control Report
This comprehensive QC report analyzes the A Bathing Ape Camo & Skull Graphic T-Shirts collection, focusing on key quality indicators for replica buyers. The inspection covers material authenticity, print accuracy, construction details, and common batch variations.
Material and Construction Analysis
The t-shirt fabric should be 100% cotton with a medium-weight feel (approximately 180-220 GSM). Authentic BAPE shirts use premium cotton that maintains shape after washing without excessive shrinkage. Check for:
- Fabric thickness and texture consistency
- Neck ribbing elasticity and recovery
- Side seam construction (should be flatlock stitching)
- Hem stitching consistency (double-needle stitching expected)
Graphic Print Quality Assessment
The camo pattern and skull graphics require precise color matching and sharp edges. Common issues include:
- Color saturation - BAPE camo uses specific green, brown, and black tones
- Print registration - edges should be crisp without bleeding
- Graphic placement - centered on chest with proper proportions
- Print texture - should feel integrated with fabric, not overly raised
Branding and Tag Verification
Authentic BAPE tags include specific details often missed in replicas:
- Neck tag stitching (should be straight and centered)
- Wash tag information (correct care symbols and Japanese text)
- Sleeve ape head logo embroidery quality
- Size tag accuracy (Japanese sizing with centimeter measurements)
Common Batch Variations
Different production batches may show variations in:
- Camo pattern scale (some batches have larger/smaller patterns)
- Skull graphic sharpness (teeth details and eye sockets)
- Shirt dimensions (measure pit-to-pit and length)
- Color fastness (test with damp cloth for dye transfer)
Always request detailed photos of these specific areas before GL (green light) approval. Pay particular attention to the camo pattern alignment at seams and the skull graphic's fine details, as these are the most common failure points across batches.
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