Mask RCNN in TensorFlow
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Updated
Jan 5, 2021 - Python
Mask RCNN in TensorFlow
OpenMMLab Text Detection, Recognition and Understanding Toolbox
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
Detectron2 for Document Layout Analysis
Custom Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
predicting more than 2 classes from publicly available image data, for annotation we are using VGG annotator latest version
AI to Combat Environmental Pollution - detecting plastic waste in the environment to combat environmental pollution and promote circular economy (Deep Learning, PyTorch)
[ECCV 2020] Boundary-preserving Mask R-CNN
Automated parking occupancy detection
Train your own custom MaskRCNN Object Detection and Instance Segmentation model.
It is modified tensorflow 2.x version of mask-rcnn.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Confusion matrix for Mask R-CNN (Matterport implementation)
Using modanet fashion dataset, the clothes images were classified under 5 season (summer,winter,spring,autumn,all).
MaskRCNN + Tensorflow + Docker
Use VGG Image Annotator to label a custom dataset and train an instance segmentation model with Mask R-CNN implemented in Keras.
This app detects types of cars and counts cars using YOLOv3
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