datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Heliconius-Collection_Cambridge-Butterfly
Dataset Card for Heliconius Collection (Cambridge Butterfly)
Dataset Description
Dataset Summary
Subset of the collection records from Chris Jiggins' research group at the University of Cambridge, collection covers nearly 20 years of field studies.
This subset contains approximately 36,189 RGB images of 11,962 specimens (29,134 images of 10,086 specimens across all Heliconius). Many records have both images and locality data.
Most images were… See the full description on the dataset page: https://huggingface.co/datasets/imageomics/Heliconius-Collection_Cambridge-Butterfly.aiconf-butterfly-learn-for-model-to-markupMaster dataset for the next markup stage of butterfly detection.
Sampling rules:
500 butterfly images
500 negative images
negative classes are distributed uniformly across: bee, beetle, flower, shrub
Files:
master_dataset.json
master_dataset.tsv
Columns:
photo_id
image
entity
selection_group
target_label
needs_bbox_markup
source_split
hard (if present in source)
photo_url (if present in source)
taxon (if present in source)
Source dataset: vsevolod-nv/aiconf-butterfly-detection-all… See the full description on the dataset page: https://huggingface.co/datasets/vsevolod-nv/aiconf-butterfly-learn-for-model-to-markup.aiconf-butterfly-detection-goldenset-extendedExtended goldenset for butterfly detection built from the original goldenset and a validated expansion pass.
Files:
larger_goldenset.json
larger_goldenset.tsv
Columns:
photo_id
image
entity
bbox
Generated at: 2026-04-19 23:31:19 UTC
Rows: 356
aiconf-butterfly-detection-allColumns:
taxon
photo_id
photo_url
hard
Dataset dedicated to further butterfly segmentation in the wild. The dataset contains photos of butterflies, bees, beetles, flowers, and shrubs, collected from iNaturalist.
The hard column indicates whether the photo is considered a hard example for butterfly detection according to a few CV techniques.
Generated at: 2026-03-15 16:40:21 UTC
Rows: 1800