deep learning for image processing including classification and object-detection etc.
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Updated
Jan 1, 2026 - Python
deep learning for image processing including classification and object-detection etc.
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
BoxMOT: Pluggable Python and C++ SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes
Pytorch implementation of convolutional neural network visualization techniques
All-in-One Development Tool based on PaddlePaddle
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
A procedural Blender pipeline for photorealistic training image generation
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
GeoAI: Artificial Intelligence for Geospatial Data
Efficient vision foundation models for high-resolution generation and perception.
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
Mask RCNN in TensorFlow
Sandbox for training deep learning networks
AI comic and manga translator app/browser extension for automatically translating comics, manga, manhwa, BDs, fumetti, and more in multiple languages and formats (Images, PDF, EPUB, CBR, CBZ etc).
Papers and Datasets about Point Cloud.
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