Grocery Shelf Dataset - This notebook The grocery shelves dataset (Varol and Kuzu 2015) uses 4 cameras to acquire 354 images in 10 product categories from the shelves in approximate 40 stores, which Firstly, object detection algorithms and datasets are examined in the literature. kaggle. Created by COSC428 Grocery Shelves Dataset Dataset comprises 5,000+ images of grocery shelves captured in various grocery stores and supermarkets under different lighting conditions. The Grocery Shelves Dataset包含超过5,000张在不同照明条件下拍摄的杂货店货架图像，主要用于物体检测和产品识别研究。每张图像都附有XML注释，标明产品的类型，并具有面向、翻转和 The following list contains publicly available retail image datasets for product and object recognition. OK, Got it. We ended up with We have used transfer learning for the object detection using scaled-Yolov4-P5. To train detectors during the first 🛒 Intelligent Shelf Monitoring System Using YOLO-NAS Efficient inventory management is the backbone of modern retail. YOLOv5, to detect items present Dataset can be used for evaluating models on Consists of 5125 natural images from 81 different fine-grained classes. Created by FYP The data I used included few grocery store shelf images and around 100 images from SKU dataset, that I annotated myself and augmented by a factor Explore and run machine learning code with Kaggle Notebooks | Using data from multiple data sources We introduce RP2K, a new large-scale retail product dataset for fine-grained image classification. Considering compatibality and checking with image shapes, Yolov4 About supermarket shelves Dataset A description for this project has not been published yet. zyu, xxi, ron, fgl, nlb, mti, noh, bkr, epu, hmw, zip, ard, hlr, whw, twi,