Wildlife Bighorn Sheep
Single-class detection model for Bighorn Sheep, fine-tuned from the Ultralytics YOLO26s backbone (pretrained on COCO).
Fuente del modelo
- Tipo
- Other
- Tamaño del archivo
- 19,4–36,4 MB
- Versión
- vRevision 1ef1991
- Actualizado
- 19 sept 2026
- Descargas
- 3
- Fuente
- Hugging Face
Descripción de la fuente
Model Card — Bighorn Sheep (Ovis canadensis)
Single-class detection model for Bighorn Sheep, fine-tuned from the Ultralytics YOLO26s backbone (pretrained on COCO).
Model file: yolo26s_finetuned_bighorn_sheep_by_J.Gong_uwyo_2026-05-28.pt
Training Details
| Property | Value |
|---|---|
| Base model | yolo26s.pt (COCO pretrained, Ultralytics) |
| Architecture | YOLO26s |
| Input size | 640 × 640 |
| Epochs | 150 |
| Optimizer | MuSGD, lr=0.002, momentum=0.9 |
| Augmentation | mosaic=1.0, degrees=10°, scale=0.5, fliplr=0.5, hsv_h/s/v |
| Device | NVIDIA RTX 5000 Ada Generation (32 GB, CUDA 12.8) |
| Training date | 2026-05-28 |
| Author | Jian Gong, University of Wyoming |
Dataset
Images sourced from iNaturalist (research-grade observations). Bounding boxes generated by MegaDetector v5a (confidence ≥ 0.15). Split 80 / 10 / 10 train / val / test.
| Split | Images |
|---|---|
| train | 220 |
| val | 27 |
| test | 28 |
Performance
Evaluated on the held-out validation set (best checkpoint).
| Metric | Value |
|---|---|
| mAP50 | 0.8110 |
| mAP50-95 | 0.6219 |
Usage
from ultralytics import YOLO
model = YOLO("models/bighorn_sheep/yolo26s_finetuned_bighorn_sheep_by_J.Gong_uwyo_2026-05-28.pt")
results = model.predict("image.jpg", conf=0.25)
Fuentes
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Fuentes
1 fuenteVerificado 9 sept
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Artefactos del modelo
2 artefactos
Artefactos del modelo
2 artefactosyolo26s_finetuned_bighorn_sheep_by_J.Gong_uwyo_2026-05-28.onnx
onnx · 36,4 MB · SHA-256 1df6953bd425…a016 · Hugging Face
Download fileyolo26s_finetuned_bighorn_sheep_by_J.Gong_uwyo_2026-05-28.pt
pt · 19,4 MB · SHA-256 7bfbf83f742c…9a05 · Hugging Face
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2 extractos
Extractos de fuentes
2 extractos--- license: cc-by-4.0 library_name: ultralytics pipeline_tag: object-detection tags: - wildlife - yolo - yolo26 - object-detection - camera-trap - bighorn-sheep --- # Model Card — Bighorn Sheep (*Ovis canadensis*) Single-class detection model for Bighorn Sheep, fine-tuned from the Ultralytics YOLO26s backbone (pretrained on COCO). **Model file:** `yolo26s_finetuned_bighorn_sheep_by_J.Gong_uwyo_2026-05-28.pt` ## Training Details | Property | Value | |----------|-------| | Base model | yolo26s.pt (COCO pretrained, Ultralytics) | | Architecture | YOLO26s | | Input size | 640 × 640 | | Epochs | 150 | | Optimizer | MuSGD, lr=0.002, momentum=0.9 | | Augmentation | mosaic=1.0, degrees=10°, scale=0.5, fliplr=0.5, hsv_h/s/v | | Device | NVIDIA RTX 5000 Ada Generation (32 GB, CUDA 12.8) | | Training date | 2026-05-28 | | Author | Jian Gong, University of Wyoming | ## Dataset Images sourced from iNaturalist (research-grade observations). Bounding boxes generated by MegaDetector v5a (confidence ≥ 0.15). Split 80 / 10 / 10 train / val / test. | Split | Images | |-------|-------:| | train | 220 | | val | 27 | | test | 28 | ## Performance Evaluated on the held-out validation set (best checkpoint). | Metric | Value | |--------|------:| | mAP50 | 0.8110 | | mAP50-95 | 0.6219 | ## Usage ```python from ultralytics import YOLO model = YOLO("models/bighorn_sheep/yolo26s_finetuned_bighorn_sheep_by_J.Gong_uwyo_2026-05-28.pt") results = model.predict("image.jpg", conf=0.25) ```
Source context: 3 downloads · 0 likes · Pipeline object-detection · Library ultralytics · Repo UWyo/wildlife-bighorn-sheep
