prince4332/yolov26-product-detection-v2

YOLO26 Medium — Retail Product Detector

Single-class product detector trained on the Retail Product Dataset. All original classes were collapsed into one class: `product`.

Metrics (val set)

Usage

from ultralytics import YOLO
from huggingface_hub import hf_hub_download

weights = hf_hub_download(repo_id="prince4332/yolov26-product-detection-v2", filename="best.pt")
model = YOLO(weights)
results = model.predict("your_image.jpg", conf=0.25)

Training Config

• —Base model: yolo26m (COCO pretrained)
• —Epochs: 80 (early stopping patience=20)
• —Image size: 640
• —Optimizer: auto (MuSGD)
• —AMP: True (FP16)
• —Augmentation: mosaic, mixup, HSV, perspective, flips