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:

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🚀 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()