| --- |
| 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 |
|
|
| ```python |
| 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 |
| ``` |
|
|
