Datasets:
metadata
license: cdla-permissive-1.0
task_categories:
- image-classification
tags:
- camera-trap
- wildlife
- serengeti
- snapshot-safari
- megadetector
pretty_name: Snapshot Safari SER Balanced — Classroom Subset v1.0
size_categories:
- 1K<n<10K
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