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README.md
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# IndoLepAtlas — Data Card
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## Dataset Summary
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IndoLepAtlas is a computer vision dataset of Indian butterflies, moths, and their larval host plants. It captures the diversity of Indian Lepidoptera across ~1,094 species with images sourced from ifoundbutterflies.org.
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**Inspired by:** iNaturalist
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**Domain:** Indian Wildlife & Biodiversity (CSE3292 §3.6)
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## Source
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- **Website:** [ifoundbutterflies.org](https://www.ifoundbutterflies.org/)
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- **License:** Images are publicly available; photographer credits preserved
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- **Collection method:** Automated scraping with respectful rate limiting
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## Dataset Composition
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### Butterflies (~967 species)
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- Adult/Unknown life stage photographs
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- Early stage (caterpillar, pupa) photographs
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- Per-image metadata: species, common name, sex, location, date, credit
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- Taxonomic hierarchy: Order → Superfamily → Family → Subfamily → Tribe → Genus → Species
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### Host Plants (~127 species)
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- Hero images and gallery photographs
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- Per-image metadata: species, family, location, date, credit
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- Cross-referenced with butterfly species they host
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## Geographic Coverage
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Images span all major Indian states with concentration in:
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- Kerala, Karnataka, Maharashtra (Western Ghats biodiversity hotspot)
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- Northeast India (Assam, Arunachal Pradesh, Meghalaya)
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- Andaman & Nicobar Islands
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## Annotation Process
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1. **Auto-trimming:** Image overlays (text labels) removed via fixed-percentage cropping
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2. **Auto-detection:** Bounding boxes generated using Grounding DINO (zero-shot object detection)
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3. **Classification:** Species labels from source website taxonomy
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4. **Metadata enrichment:** OCR extraction of overlay text (location, date, credit, media code)
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## Known Limitations
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- Some species have very few images (long-tailed distribution)
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- OCR may fail on low-quality or unusually formatted overlays → null fields
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- Bounding boxes are auto-generated, not manually verified
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- Geographic bias toward well-surveyed regions (Western Ghats, Northeast)
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## Ethical Considerations
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- No human subjects or personal information
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- Source is a public biodiversity documentation platform
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- Photographer attribution maintained via OCR extraction
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- Dataset does not include sensitive or endangered species location details
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