info dict | licenses list | images list | annotations list | categories list |
|---|---|---|---|---|
{"description":"The 2017 FGVC^4 iNaturalist Competition dataset with bounding boxes. Only a subset o(...TRUNCATED) | [{"url":"http://creativecommons.org/publicdomain/zero/1.0/","id":"7","name":"Public Domain Dedicatio(...TRUNCATED) | [{"license":"3","file_name":"../images/train_val_images/Aves/Fulica americana/f571c957bf3a8db3113838(...TRUNCATED) | [{"area":144228.0,"iscrowd":0,"image_id":32,"bbox":[0,57,606,476],"category_id":6,"id":32},{"area":3(...TRUNCATED) | [{"id":0,"name":"Actinopterygii","supercategory":"organism"},{"id":1,"name":"Amphibia","supercategor(...TRUNCATED) |
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Check out the documentation for more information.
iNaturalist 2017 Supercategory Subset
This dataset is a sampled subset of the iNaturalist 2017 Challenge dataset, specifically processed for efficient object detection training across major biological supercategories.
Dataset Summary
- Source: iNaturalist 2017 (Competition Version)
- Task: Object Detection
- Classes: 9 (Collapsed from thousands of species into biological supercategories)
- Training Samples: 1,000 images per supercategory (~9,000 total)
- Validation Samples: 200 images per supercategory (~1,800 total)
Class Map (ID to Supercategory)
The original thousands of species-level categories have been remapped to the following indices:
| ID | Supercategory |
|---|---|
| 0 | Actinopterygii (Ray-finned fishes) |
| 1 | Amphibia (Amphibians) |
| 2 | Animalia (Other Animals) |
| 3 | Arachnida (Arachnids) |
| 4 | Aves (Birds) |
| 5 | Insecta (Insects) |
| 6 | Mammalia (Mammals) |
| 7 | Mollusca (Mollusks) |
| 8 | Reptilia (Reptiles) |
File Structure
subset_train_bboxes.json: COCO-formatted annotations for the training set.subset_val_bboxes.json: COCO-formatted annotations for the validation set.images/: Directory containing all sampled JPEG images.
Usage & Reproduction
This subset was generated using dataprep.py by:
- Downloading the 2017 Competition bounding box annotations.
- Grouping images by their biological supercategory.
- Randomly sampling a fixed number of images per group.
- Collapsing the category IDs in the JSON files to the 0-8 range based on supercategory.
- Streaming the original 165GB iNaturalist tarball and extracting only the sampled image files.
Licensing
The images and original annotations are provided by iNaturalist and are generally under Creative Commons Attribution-NonCommercial (CC BY-NC) licenses. Please refer to the official iNaturalist 2017 page for specific license details for each image.
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