OpenMMLab Text Detection, Recognition and Understanding Toolbox
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Updated
Nov 27, 2024 - Python
OpenMMLab Text Detection, Recognition and Understanding Toolbox
Mask RCNN in TensorFlow
Out-of-the-box code and models for CMU's object detection and tracking system for multi-camera surveillance videos. Speed optimized Faster-RCNN model. Tensorflow based. Also supports EfficientDet. WACVW'20
Kaggle airbus ship detection challenge 21st solution
[ECCV 2020] Boundary-preserving Mask R-CNN
Detectron2 for Document Layout Analysis
AI to Combat Environmental Pollution - detecting plastic waste in the environment to combat environmental pollution and promote circular economy (Deep Learning, PyTorch)
Automated parking occupancy detection
Using modanet fashion dataset, the clothes images were classified under 5 season (summer,winter,spring,autumn,all).
Custom Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Train your own custom MaskRCNN Object Detection and Instance Segmentation model.
It is modified tensorflow 2.x version of mask-rcnn.
Example notebooks on building PyTorch, preparing data and training as well as an updated project from a PyTorch MaskRCNN port
predicting more than 2 classes from publicly available image data, for annotation we are using VGG annotator latest version
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Tools for extract figure, table, text, .. from a pdf document.
📺 NeuralAtlases - A Pytorch implementation of the paper "Layered Neural Atlases for Consistent Video Editing" (https://arxiv.org/abs/2109.11418v1)
Implementation of Mask RCNN in PyTorch
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