Model	mAP50	mAP50-95	Size
Teacher (YOLOv8m)	86.40%	62.78%	49.6 MB
Student Fine-tuned (YOLOv8n)	84.61%	60.64%	5.96 MB
Student KD (YOLOv8n)	79.28%	53.38%	~6 MB
Student Quantized (INT8)	84.31%	60.50%	3.20 MB

Usage

python

from huggingface_hub import hf_hub_download

# Download quantized model for web deployment
model_path = hf_hub_download(
    repo_id="Hunjun/yolo-tank-detection",
    filename="optimized/student_quantized.onnx"
)

# Or download teacher model
teacher_path = hf_hub_download(
    repo_id="Hunjun/yolo-tank-detection",
    filename="teacher/yolov8m_tank_best.pt"
)

Classes

Airplane
Helicopter
Person
Tank
Vehicle

Training

Teacher: YOLOv8m fine-tuned on Military Dataset (20 epochs)
Student: YOLOv8n fine-tuned / Knowledge Distillation (20 epochs)
Quantization: INT8 dynamic quantization via ONNX Runtime

Hunjun/yolo-tank-detection

YOLO Tank Detection Models

Models

Usage

Classes

Training

References

Hunjun/
yolo-tank-detection