Performance comparison of YOLO, FasterRCNN and SSD for Object Detection (Person)
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Updated
Oct 15, 2023 - Python
Performance comparison of YOLO, FasterRCNN and SSD for Object Detection (Person)
This is a deep learning code written in PyTorch that convert a given text into image.
Application to check if you have genu valgum or not using the knee angle.
Use the python script to select images contains person in the COCO。
Convert your own dataset to COCO dataset.
This is a small Raspberry-Pi enabled Object detection and alarming system.
Build a subset of COCO dataset
Image caption generator using tensorflow and coco dataset
Script for retrieving images and annotations (for all or only certain labels) from a COCO format dataset, and convert them to a YOLOv8 format dataset. The newly generated dataset can be used with Ultralytics' YOLOv8 model.
This object detection only for image not for video.You will give input image then it will give output object detected/classify the object.
Miscellaneous scripts: Hand Segementation, Load COCO dataset, simple tkinter gui apps
Scripts to convert different Datasets into nice COCO-styled JSON
Crops the bounding boxes in coco dataset with configurations
Here I have done a deep learning project of python using yolov8.
Leverage OpenCV (cv2) to build an object detection system. This system would combine a pre-trained MobileNet model, trained on the COCO dataset, with a frozen inference graph for real-time object identification within images or videos.
A tool for the conversion from ICDAR to COCO dataset.
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