GitHub / matteo-stat / multi-task-learning-object-detection-semantic-segmentation
A multi task neural network implemented from scratch, performing object detection with SSD and semantic segmentation with DeeplabV3+ simultaneosly!
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PURL: pkg:github/matteo-stat/multi-task-learning-object-detection-semantic-segmentation
Stars: 2
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 70 MB
Dependencies parsed at: Pending
Created at: about 2 years ago
Updated at: 6 months ago
Pushed at: 10 months ago
Last synced at: 9 days ago
Topics: computer-vision, deeplab-v3-plus, deeplabv3, image-object-detection, image-segmentation, keras, mobilenet-v2, mobilenetv2, neural-network-architectures, neural-networks-from-scratch, object-detection, semantic-segmentation, shufflenet-v2, shufflenetv2, single-shot-detector, single-shot-multibox-detector, ssd, ssdlite, tensorflow