ICICLE-AI/yolov9-animals-AE-data

YOLOv9 – Animal Detection (Zebra, Impala, Giraffe)

This model is a YOLOv9 detector fine-tuned with Ultralytics.
It was trained for 50 epochs on a subset of the ICICLE-AI/CAN_Benchmark dataset containing three species:

• 0 → zebra
• 1 → impala
• 2 → giraffe

📊 Training details

• Framework: Ultralytics YOLOv9
• Epochs: 50
• See full hyperparameters in args.yaml

The model converged by ~40 epochs, and shows strong precision/recall on the held-out validation set:

🚀 Usage

Load the model directly from the Hugging Face Hub:

from ultralytics import YOLO

# Load model from HF Hub
model = YOLO("ICICLE-AI/yolov9-animals-AE-data")

# Run inference
results = model("demo.jpg")
results[0].show()