barzansaeedpour/predicting-bounding-boxes-for-image-detection
In this repository we use tensorflow hub pretrained modules to detect objects in images and draw bounding boxes around the detected objects using the outputs
This project helps anyone who needs to automatically find and label specific items within digital images or videos. You provide an image, and it returns the same image with boxes drawn around detected objects, along with what those objects are and how confident the system is in its identification. This is for users who want to quickly analyze image content without manually tagging.
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Use this if you need to automatically identify and mark the precise locations of objects in images, such as for inventory management, quality control, or scene analysis.
Not ideal if you require highly specialized object detection for a very unique or rare object type that isn't typically covered by broadly trained models, or if you need to train a model from scratch with a custom dataset.
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Last pushed
Jun 07, 2023
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