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UWyo/wildlife-river-otter

sourceHugging Facecc-by-4.0updated 3mo agoView on Hugging Face

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Model Card

Model Card — North American River Otter (Lontra canadensis)

Single-class detection model for North American River Otter, fine-tuned from the Ultralytics YOLO26s backbone (pretrained on COCO).

Model file: yolo26s_finetuned_river_otter_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	183
val	22
test	24

Performance

Evaluated on the held-out validation set (best checkpoint).

Metric	Value
mAP50	0.7330
mAP50-95	0.5856

Usage

python

from ultralytics import YOLO
model = YOLO("models/river_otter/yolo26s_finetuned_river_otter_by_J.Gong_uwyo_2026-05-28.pt")
results = model.predict("image.jpg", conf=0.25)