OlafenwaMoses/Action-NetPython
A dataset of images for artificial intelligence models to recognize human actions.
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リポジトリ
OlafenwaMoses のリポジトリ
Repository top show you how to setup and use Apache's wealth of OSS projects
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A dataset for detecting healthy and damaged apples
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OlafenwaMoses/BLIPJupyter Notebook
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
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OlafenwaMoses/ByteTrackPython
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
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Code implementation of major Convolutional Neural Networks
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The World's Leading Cross Platform AI Engine for Edge Devices
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A custom DeepStack model for detecting 16 human actions.
(26 stars) (6 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
A DeepStack custom model for detecting common objects in dark/night images and videos.
(124 stars) (23 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
A DeepStack custom model for detecting 352 common logos
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DenseNet Implementation in Keras with ImageNet Pretrained Models
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OlafenwaMoses/FireNETPython
A deep learning model for detecting fire in video and camera streams
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Golang Practice
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OlafenwaMoses/IdenProfPython
IdenProf dataset is a collection of images of identifiable professionals. It is been collected to enable the development of AI systems that can serve by identifying people and the nature of their job by simply looking at an image, just like humans can do.
(194 stars) (104 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
OlafenwaMoses/ImageAIPython
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
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Official English Documentation of ImageAI
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OlafenwaMoses/IntelliPPython
IntelliP (Intelligent Photos) is a Windows photo gallery that intelligently organizes the pictures in your computer into 12 unique and related categories.
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OlafenwaMoses/LLaVAPython
[NeurIPS 2023 Oral] Visual Instruction Tuning: LLaVA (Large Language-and-Vision Assistant) built towards multimodal GPT-4 level capabilities.
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