I will prepare, clean and augment image datasets for computer vision
About this Gig
URGENT? I'LL PREPARE YOUR IMAGE DATASET TODAY!
I specialize in preparing, cleaning, and augmenting image datasets for computer vision and deep learning projects. Whether you're training object detection models, building image classifiers, or developing AI applications, I'll deliver production-ready datasets fast.
WHAT I DO:
Remove corrupted/duplicate images
Resize and normalize images
Apply data augmentation (rotations, flips, brightness adjustments)
Create train/validation/test splits (stratified)
Generate COCO/Pascal VOC annotations
Organize files with proper folder structure
Provide detailed quality report
FORMATS I WORK WITH:
JPEG, PNG, BMP, TIFF, WebP
Multiple image classification schemes
Object detection annotations (YOLO, COCO)
Semantic segmentation masks
WHY CHOOSE ME:
Fast turnaround (1-day delivery available)
Python + OpenCV + PIL expertise
100+ projects completed
Attention to detail
Clear documentation included
Quick message responses
PACKAGES:
QUICK: 100 images, 1 day, $15
STANDARD: 1,000 images, 2 days, $35
ENTERPRISE: 2,000+ images, 3 days, $75
MESSAGE BEFORE ORDERING to discuss your specific needs and get the fastest turnaround!
Technique:
Manual
Tagging type:
Text
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Image
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Video
FAQ
What types of data do you work with?
I work with Excel, CSV, SQL exports, survey data, medical/biotech data, ecommerce datasets, research data, and time-series logs.
Do you provide source files?
Yes! I deliver all cleaned and augmented image files in properly organized folders (train/val/test splits). All original images, metadata files, annotation files (YOLO, COCO format), and a detailed quality report are included based on your package.
Can you build predictive models?
Yes, predictive analytics (regression, forecasting, clustering) is included in the Premium package.
Is my data secure?
Absolutely. I follow strict data privacy and secure handling protocols.
Not sure what you need?
Send me your dataset and goal — I will recommend the best package before you order.

