A system that detects scene text on traffic signs through images and videos
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Updated
Apr 6, 2024
A system that detects scene text on traffic signs through images and videos
Utilizing synthetic images to enhance the automated recognition of small-sized construction tools
REST API to detect objects in images. Get labels, confidence scores, and bounding box coordinates. Powered by neural networks.
A new benchmark model for the automated recognition of a wide range of heavy construction equipment
YOLOv8-based detection & automated counting of palm oil fruit bunches (TBS) — classifying Matang, Mentah, and Cacat in real-time. Industry collaboration project with PTPN, developed at Binus University. Exported to ONNX for edge deployment.
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