Datasets:
The dataset viewer is not available for this subset.
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.
Snapshot Safari SER (Serengeti) — Balanced Classroom Subset v1.0
Summary
A curated, balanced subset of the Snapshot Safari 2024 Expansion SER (Serengeti National Park) camera trap dataset, prepared for use in the CAS Deep Learning — Computer Vision course exercises.
| Archive | Images | Description |
|---|---|---|
ser_balanced.tar.gz |
1,850 | Balanced, ≤200/class, full frames |
Source
- Dataset: Snapshot Safari 2024 Expansion — SER (Serengeti) subset
- URL: https://lila.science/datasets/snapshot-safari-2024-expansion/
- License: Community Data License Agreement — Permissive variant 1.0
- Attribution: Snapshot Safari / University of Minnesota Lion Center
MegaDetector
Pre-computed MegaDetector v1000-redwood RDE-filtered results from LILA Science:
snapshot-safari-2024-expansion-SER-subset-v1000.0.0-redwood_detections.threshold.filtered.json.zip
Used to filter frames (conf ≥ 0.8) and select the best frame per sequence.
Species
buffalo, elephant, empty, gazellegrants, gazellethomsons, hartebeest, impala, warthog, wildebeestblue, zebraplains
Statistics
| Class | Train | Val | Test | Total |
|---|---|---|---|---|
| buffalo | 140 | 30 | 30 | 200 |
| elephant | 140 | 30 | 30 | 200 |
| empty | 35 | 8 | 7 | 50 |
| gazellegrants | 140 | 30 | 30 | 200 |
| gazellethomsons | 140 | 30 | 30 | 200 |
| hartebeest | 140 | 30 | 30 | 200 |
| impala | 140 | 30 | 30 | 200 |
| warthog | 140 | 30 | 30 | 200 |
| wildebeestblue | 140 | 30 | 30 | 200 |
| zebraplains | 140 | 30 | 30 | 200 |
| Total | 1295 | 278 | 277 | 1850 |
Note: ~56% of images are IR/night (near-infrared, nearly greyscale).
Curation Details
- Deduplication: one image per sequence (highest MD animal confidence frame)
- Animal filter: MD animal confidence ≥ 0.8
- Empty filter: max MD animal confidence < 0.2
- Split strategy: stratified 70/15/15 by sequence ID — no sequence spans splits
- Image resolution: resized to max 1024 px on longer side, JPEG quality 92
- Format: ImageFolder layout —
<split>/<label>/<filename>.jpg
Usage
from huggingface_hub import hf_hub_download
import tarfile
archive = hf_hub_download(
"marco-willi/ser_balanced",
"ser_balanced.tar.gz",
repo_type="dataset",
)
with tarfile.open(archive) as tar:
tar.extractall(DATA_PATH)
# → DATA_PATH/ser/ser_balanced/{train,val,test}/<label>/*.jpg
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