nicolasmetallo/car-damage-detector
Detect dents and scratches in cars. Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow. (⭐ 142)
Detect dents and scratches in cars. Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow. (⭐ 142)
Apr 22, 2025 · Pope Francis was elected in 2013 after Benedict XVI retired. He was the first Latin American pope in history and the first from the Americas.
Computer vision methods based on convolutional neural networks (CNNs) have presented promising results on image-based fruit detection at ground-level for different crops. However, the integration of the detections found in different images, allowing...
CNN for mechanical fault diagnosis (⭐ 334)
SOLVED: THESE TAPES HAVE BEEN DONATED TO THE INTERNET ARCHIVE. Thank you EVERYONE for your inquiry's and interest in the tapes. About 18 boxes have been taken so far. Wanting to give them to someone w...
2 days ago · China spent the last five years cultivating innovation and new technology at home. The next half decade will be dedicated to deploying the fruits of its labor to transform its economy – and its ...
Semantic Video CNNs through Representation Warping. ICCV 2017 (⭐ 68)
Jun 29, 2019 · Sen. Kamala Harris and former Vice President Joe Biden had a heated exchange about busing at the first Democratic debate. Here’s what you need to know about it.
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Python package for automatic tree crown delineation based on the Detectron2 implementation of Mask R-CNN (⭐ 236)
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This toolbox is support material for the book on CNN (http://www.convolution.network). (⭐ 42)
De salas vacías a llenos totales, la respuesta al documental sobre Melania Trump refleja la división política de EE.UU. Stephen Miller gestiona al detalle las políticas migratorias de Trump.
Transformer-based Diffusion Probabilistic Models (DPMs) have shown more potential than CNN-based DPMs, yet their extensive computational requirements hinder widespread practical applications. To reduce the computation budget of transformer-based DPMs...
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This paper addresses the critical need for automated crack detection in the preservation of cultural heritage through semantic segmentation. We present a comparative study of U-Net architectures, using various convolutional neural network (CNN) encod...
Violence detection in videos using Deep Learning (CNNs + LSTMs). 98.5% video accuracy and 97.81% frame level accuracy (with threshold=3) was achieved through the proposed model by Joshua on HockeyFight dataset. Joshua's project was extended with real-time pred…
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Skin cancer, the most common human malignancy, is primarily diagnosed visually by physicians [1]. Classification with an automated method like CNN [2, 3] shows potential for challenging tasks [1]. By now, the deep convolutional neural networks are on...