madhavkarthi/2025-24679-HW1-Images-mkarthik

🥄 2025-24679-HW1-Images (Cutlery Classification)

📌 Purpose

This dataset was created for an academic assignment on data collection and augmentation.
It is intended to support binary image classification tasks: detecting whether an image contains cutlery or not.

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📊 Composition

• Total size (original): 32 images
  • 21 containing cutlery
  • 11 without cutlery
• Augmented size: ~352 images (32 originals + 320 synthetic variants)
• Image size: 224×224 pixels (resized and cropped to square)
• File format: PNG/JPG (depending on source images)

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📥 Collection

• Images were collected manually and stored in Google Drive folders:
  • Cutlery
  • No Cutlery
• Each image was resized, square-cropped, and converted to RGB.
• No personally identifiable information (PII) or sensitive content was collected.

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🔧 Preprocessing & Augmentation

Preprocessing

• Cropped to square
• Resized to 224×224
• Converted to RGB

Augmentation

• Geometric: random resized crop, rotations, flips
• Photometric: color jitter, autocontrast, sharpness adjustment
• Occlusion: random erasing (cutout-like)
• RandAugment (optional) for stronger perturbations

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🏷️ Labels

• Binary classification:
  • 0 → No Cutlery
  • 1 → Cutlery
• Stored as a ClassLabel feature: ["No Cutlery", "Cutlery"]

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📂 Splits

• original: 32 manually collected images
• augmented: ~320 synthetic images (10 augmentations per original)

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🎯 Intended Use & Limits

• Use: coursework, experimentation with image classification models
• Not for: production deployment or real-world cutlery detection
• Models trained on this dataset will not generalize due to its small size

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⚖️ Ethical Notes

• Dataset avoids sensitive content (no faces, no private data).
• No known safety concerns.
• Synthetic augmentation does not fully capture real-world variability.

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📜 License

• CC-BY-4.0 (Creative Commons Attribution 4.0 International)
• Free to use for educational and research purposes with attribution.

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🤖 AI Usage Disclosure

• AI tools (ChatGPT + torchvision augmentations) assisted in designing the preprocessing, augmentation, and documentation pipeline.
• Original images were collected manually, not AI-generated.

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