Grocery Item Detection using SSD (PyTorch) | Train Custom Object Detector from Scratch
🚀 Grocery Items Object Detection using SSD (PyTorch) | End-to-End Training Tutorial
In this video, we build a Grocery Product Detection System using SSD (Single Shot Detector) with a VGG16 backbone in PyTorch. From downloading the dataset with Roboflow to training, visualizing predictions, and testing the model everything is covered step by step.
This project is perfect if you want to learn custom object detection training for real-world retail or supermarket use cases 🛒
🔗 GitHub Code: https://github.com/NitinCVOrbit/Groce...
🔥 What You’ll Learn
✅ Download dataset using Roboflow API
✅ Prepare YOLO annotations for PyTorch detection models
✅ Build a Custom Dataset & DataLoader
✅ Modify Pretrained SSD300 VGG16 for 18 custom classes
✅ Training loop with optimizer + LR scheduler
✅ Visualizing bounding boxes on training data
✅ Plotting training loss graph 📉
✅ Running inference on test images
✅ Saving & loading trained model
🧠 Tech Stack
Python | PyTorch | OpenCV | Torchvision | Matplotlib | Roboflow
#ComputerVision #ObjectDetection #PyTorch #SSD #DeepLearning #Roboflow #MachineLearning #AIProject #PythonAI #RetailAI