Detection Model Collection

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💎Aqua

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“Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos. ”

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🔮Psychic

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“Robust realtime face and facial landmark tracking on CPU with Unity integration”

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🔮Psychic

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“Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)”

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🔮Psychic

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“Fast anchor free Object Detection based on CenterNet (Objects As Points) and TTFNet (Training-Time-Friendly Network). Implemented in TensorFlow 2.4+.”

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🔥Fire

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“C++ trainable detection library based on libtorch (or pytorch c++). Yolov4 tiny provided now.”

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🔮Psychic

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“A tensorflow based Faster RCNN inception v2 python model to detect and count humans in real time images, videos & camera.”

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⚔️Fighting

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“A Flutter plugin for managing both Yolov5 model and Tesseract v4, accessing with TensorFlow Lite 2.x. Support object detection, segmentation and OCR on both iOS and Android.”

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⚡Electric

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“Aankh - A real time proctoring solution 🦄”

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🔮Psychic

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“MambaCoral-DiffDet code and Dataset”

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🔮Psychic

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“LiDAR-Camera Fusion for 3D Object Detection in Autonomous Driving Systems”

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🔮Psychic

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“[NeurIPS 2022 Spotlight] RLIP: Relational Language-Image Pre-training and a series of other methods to solve HOI detection and Scene Graph Generation.”

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🔮Psychic

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“Considering the big change that the world is facing, as well as our lives due to the COVID-19, we provide to people and companies a complete open-source tool to analyze the social distancing for streets, parks, offices, and even crowded places like malls, train stations, and others.”

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🔮Psychic

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“An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.”

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🔮Psychic

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“Official implementation of ColonSegNet: Real-Time Polyp Segmentation (Used in NVIDIA Clara Holoscan App for Polyp Segmentation)”

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💧Water

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“This model is meant to help triage patients (prioritize certain patients for testing, quarantine, and medical attention) that require diagnosis for COVID-19. This model is not meant to diagnose COVID-19.”