imageomics/IDLE-OO-Camera-Traps
Dataset Card for IDLE-OO Camera Traps IDLE-OO Camera Traps is a 5-dataset benchmark of camera trap images from the Labeled Information Library of Alexandria: Biology and Conservation (LILA BC) with a total of 2,586 images for species classification. Each of the 5 benchmarks is balanced to have the same number of images for each species within it (between 310 and 1120 images), representing between 16 and 39 species. Supported Tasks and Leaderboards Image… See the full description on the dataset page: https://huggingface.co/datasets/imageomics/IDLE-OO-Camera-Traps.
Add new DOI to dataset citation for latest version
Add BioCLIP 2 paper to citation request (#14)
small formatting fix
Add note on change from first version, document original release's DOI and commit hash
revise common name column for balance in testing (#13)
Add short description, link to paper, formatting fix on details (#12)
Add DOI to Citation
remove splits label config
Drop subset column in metadata; Specify config in README to include dataset split labels.
restructure repo to fix the dataset viewer
add folder path to file_name prefix
specifying `file_name` as the column containing the image paths in README config
fix_structure (#10)
add configs
fix_viewer (#8)
viewer_metadata (#7)
image_data (#6)
Restructure (#4)
Evaluate test-set options (#3)
updated analysis of LILA data (#2)
Add note about licensing
Create README.md
Ignore pycache, ds_store, etc.
Organized data and notebook to appropriate folders and fixed data calls in notebook.
Stats on number of images per species added in.
Main CSV filtered to just those with species labels and only one animal per image.
Some more data cleaning and stats, deduped images and reduced down to species designation
LILA BC full camera trap information with notebook exploring available data.
initial commit