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foduucom/product-detection-in-shelf-yolov8
product-detection-in-shelf-yolov8 is a object detection model from foduucom. Use it when you need objects located in an image. It is set up for ultralytics.
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Downloads · 30 days
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From the Hugging Face model README
Hey there, retail rockstar! 👋 If you're ready to make your mart or mall experience a whole lot cooler, give this YOLOv8 Shelf Object Detection model a virtual high-five! 🙌 Your shelves will never be the same again, and neither will your customers' smiles.
The YOLOv8 Shelf Object Detection model is your new retail sidekick! It doesn't just detect objects; it's got a sixth sense for finding what you need on those shelves. Whether it's a jar of pickles or the latest gadget, this model's got you covered. And hey, it's a pro at counting too! So, say goodbye to empty spaces and hello to perfectly organized retail enchantment.
['Empty Shelves', 'Magical Products']
We're all about that collaboration groove! If you're as excited about this model as we are (and trust us, it's hard not to be), show some love with a thumbs up 👍. Let's work together to make retail dreams come true!
Integrate this model into your retail kingdom for real-time inventory harmony, shelf perfection, and automated restocking magic.
Want to optimize shelf layouts, unravel product placement mysteries, and sprinkle some sparkle into your customers' lives? This model's got your back!
Just like a trusty wizard, this model might have its quirky moments:
Remember, every spellcaster has their quirks. Test and twirl within your retail realm before letting it loose on the magical stage.
To dive into the retail wizardry with the YOLOv8 Shelf Object Detection model, follow these enchanted steps:
pip install ultralyticsplus==0.0.28 ultralytics==8.0.43
# Wave your wand (or keyboard) to get started!
from ultralyticsplus import YOLO, render_result
import cv2
# Cast a spell to summon the model
model = YOLO('foduucom/shelf-object-detection-yolov8')
# Tweak the magical parameters
model.overrides['conf'] = 0.25 # NMS confidence threshold
model.overrides['iou'] = 0.45 # NMS IoU threshold
model.overrides['agnostic_nms'] = False # NMS class-agnostic
model.overrides['max_det'] = 1000 # maximum number of detections per image
# set image
image = "path/to/your/shelf/image"
#you can pass live camera streaming or video
# Begin the mystical journey through video frames
# (Remember to have your retail tapestry ready)
while cap.isOpened():
# Read a frame from the video
success, frame = cap.read()
if success:
# Unleash the magic of YOLOv8
results = model(frame)
# Showcase the magic on the frame
annotated_frame = results[0].plot()
# Present the enchanted frame
cv2.imshow("YOLOv8 Retail Wizardry", annotated_frame)
# Dispel the spell if 'q' is pressed
if cv2.waitKey(1) & 0xFF == ord("q"):
break
else:
# Return to reality when the video ends
break
# Release your captive video and close the portal
cap.release()
cv2.destroyAllWindows()
The mystical YOLOv8 Shelf Object Detection model was crafted by wizards at FODUU AI.
@ModelCard{
author = {Nehul Agrawal and
Pranjal Singh Thakur},
title = {YOLOv8 Shelf Object Detection in Retail Environments},
year = {2023}
}
Join the retail magic and send your owl to [email protected] for any questions or enchanting contributions.
Feel free to adjust the humor and tone as needed to match the vibe you want for your model card. Enjoy your retail adventures! 🛒✨