Performance comparison of YOLO, FasterRCNN and SSD for Object Detection (Person)

enhance real-time visual perception, offering intelligent support for tasks ranging from object recognition to detailed analysis and decision-making.

Application to check if you have genu valgum or not using the knee angle.

Convert your own dataset to COCO dataset.

This is a small Raspberry-Pi enabled Object detection and alarming system.

Contains code which were very useful when dealing with COCO Dataset

Miscellaneous scripts: Hand Segementation, Load COCO dataset, simple tkinter gui apps

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.

Image caption generator using tensorflow and coco dataset

coco dataset loader

Analyzer for COCODatasets.

This object detection only for image not for video.You will give input image then it will give output object detected/classify the object.

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.

This project demonstrates how to use YOLO (You Only Look Once) for object detection in images using OpenCV. YOLO is a state-of-the-art, real-time object detection system that can detect multiple objects in images and videos with high accuracy.

Convert coco dataset to tfrecord for the tensorflow detection API.

This is a deep learning code written in PyTorch that convert a given text into image.