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    SOTA-Detection-Lab is a PyTorch-based framework for training, fine-tuning, and evaluating state-of-the-art object detection models on custom datasets. It supports Faster R-CNN, YOLO, CenterNet, Eff…

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    A dataset of lecture video frames annotated with visual elements such as tables, charts, photographs, and illustrations, designed for visual content detection and educational video analysis.

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    A lightweight, config-driven framework for unified vision-language model inference across local and cloud backends.

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