Dataset Viewer

The dataset viewer is not available for this subset.

Cannot get the split names for the config 'default' of the dataset.

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 82, in _split_generators
                  raise ValueError(
              ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

Caltech Camera Traps CCT20 — Classroom Subset v1.0

Summary

A curated, balanced subset of the Caltech Camera Traps CCT20 benchmark for use in the CAS Deep Learning — Computer Vision course exercises.

Source

Dataset: Caltech Camera Traps — CCT20 benchmark subset
URL: https://lila.science/datasets/caltech-camera-traps
License: Community Data License Agreement — Permissive variant 1.0
Attribution: Beery et al., "Recognition in Terra Incognita", ECCV 2018

Curation

Selected classes: bobcat, cat, coyote, empty, opossum, rabbit, raccoon, squirrel
Sampling: 200 images per class (random seed 42), drawn from CCT20 images
Split strategy: stratified 80/10/10 per class
Image resolution: original CCT20 resolution (pre-downsampled by LILA to ≤1024 px)
Format: JPEG, ImageFolder layout (<split>/<label>/<filename>.jpg)

Statistics

Class	Train	Val	Test	Total
bobcat	160	20	20	200
cat	160	20	20	200
coyote	160	20	20	200
empty	160	20	20	200
opossum	160	20	20	200
rabbit	160	20	20	200
raccoon	160	20	20	200
squirrel	160	20	20	200
Total	1280	160	160	1600

Sidecar files

metadata.csv — per-image record with image_id, file_name, split, label, width, height

Usage in notebooks

from huggingface_hub import hf_hub_download
import tarfile

archive = hf_hub_download(
    "marco-willi/camera-trap-cct20",
    "cct20.tar.gz",
    repo_type="dataset",
)
with tarfile.open(archive) as tar:
    tar.extractall(DATA_PATH)

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