Datasets:
File size: 3,910 Bytes
e42237f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 | # IndoLepAtlas — Indian Lepidoptera & Host Plants Dataset
A large-scale computer vision dataset of Indian butterflies, moths, and their larval host plants. Sourced from [ifoundbutterflies.org](https://www.ifoundbutterflies.org/) with public CC-licensed photographs.
> **Inspired by:** [iNaturalist](https://www.inaturalist.org/) | **Domain:** Indian Wildlife & Biodiversity
## Dataset Overview
| | Butterflies | Host Plants | Total |
|---|---|---|---|
| **Species** | ~967 | ~127 | ~1,094 |
| **Images** | ~2,000+ | ~700+ | ~2,700+ |
| **Source** | ifoundbutterflies.org | ifoundbutterflies.org | — |
## Motivation
Existing CV datasets (ImageNet, iNaturalist) under-represent Indian biodiversity. India hosts **~1,500 butterfly species** — many endemic and poorly documented in digital datasets. This dataset enables:
- **Species classification** of Indian butterflies and host plants
- **Object detection** with auto-generated bounding boxes
- **Ecological analysis** of butterfly-plant host relationships
- **Diagnostic analysis** using pretrained models
## Directory Structure
```
IndoLepAtlas/
├── data/
│ ├── butterflies/
│ │ ├── raw/ # Original images (with overlays)
│ │ ├── images/ # Clean trimmed images
│ │ └── metadata.csv # Enriched per-image metadata
│ └── plants/
│ ├── raw/
│ ├── images/
│ └── metadata.csv
├── annotations/
│ ├── butterflies/*.txt # YOLO format
│ ├── plants/*.txt # YOLO format
│ ├── annotations.json # COCO format (combined)
│ └── classes.txt # Species→ID mapping
├── splits/
│ ├── train.txt (70%)
│ ├── val.txt (15%)
│ └── test.txt (15%)
├── docs/
│ ├── class_definitions.json
│ ├── annotation_guide.md
│ ├── data_card.md
│ └── distribution_stats.md
├── README.md
└── LICENSE
```
## Metadata Fields
### Butterflies (`metadata.csv`)
`image_id, filename, species, common_name, family, subfamily, genus, order, life_stage, sex, media_code, location, state, date, credit, source_url, source, split`
### Plants (`metadata.csv`)
`image_id, filename, species, family, genus, image_type, media_code, location, state, date, credit, butterfly_hosts, source_url, source, split`
## Annotation Format
- **YOLO** (per image): `<class_id> <x_center> <y_center> <width> <height>` (normalized)
- **COCO** (`annotations.json`): standard format with `images`, `categories`, `annotations`
- **Classes**: Species-level (~1,094 classes). See `annotations/classes.txt`
## Pipeline Scripts
| Script | Purpose |
|--------|---------|
| `pull_hf_data.py` | Download datasets from HuggingFace |
| `process_images.py` | Trim overlay text bands |
| `enrich_metadata.py` | OCR overlay extraction → metadata CSVs |
| `generate_annotations.py` | Auto bounding boxes (Grounding DINO) |
| `generate_splits.py` | Stratified train/val/test splits |
| `generate_stats.py` | Distribution statistics |
| `crawler_logged.py` | Butterfly species scraper |
| `plant_crawler.py` | Host plant species scraper |
All pipeline scripts are **incremental** — they skip already-processed data and support adding new species non-destructively.
## Ethical Guidelines
- All images are from publicly available sources (ifoundbutterflies.org)
- Photographer credits are preserved in metadata via OCR extraction
- No human faces or personal information in the dataset
- Source URLs and attribution maintained for every image
## Citation
```
@dataset{indolepatlas2026,
title={IndoLepAtlas: Indian Lepidoptera and Host Plants Dataset},
year={2026},
source={ifoundbutterflies.org},
license={CC BY-NC-SA 4.0}
}
```
## License
This dataset is released under [CC BY-NC-SA 4.0](LICENSE).
|