Deep Learning Projects

Filter Projects (show all): [Computer Vision] [Deep Learning] [Machine Learning] [Software Development]

	Kaggle Right Whale Recognition
	Convolutional Neural Network model to recognize individual Right Whales
	We use several different methods to recognize individual Right Whales: fine-tuning a pre-trained CNN model, and reusing those models as feature extractors to fed into an SVM.
	Toolstack: C++, Python, Caffe
	Computer Vision Deep Learning Machine Learning Image Classification Fine-Grained Recognition
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	Human Recognition in Infrared Images
	Convolutional Neural Network model to recognize humans in infrared spectrum
	We manually collect human and non-human infrared images using Seek Thermal imaging camera and manually label/annotate them. We fine-tune pre-trained CNN models and use them as feature extractors to train SVMs.
	Toolstack: C++, Python, Caffe
	Computer Vision Deep Learning Machine Learning Image Classification

	First-person Scene Classification
	A model to recognize place, activities, and objects in first-person images
	We manually collect thousands of first-person photographs using Narrative Clip wearable camera and then we create a hierarchical structure of 17 classes in 3 main categories: places, activities and objects. We do multi-label classification using Caffe and scikit-learn's OneVsRestClassifier.
	Toolstack: C++, Python, Caffe, scikit-learn
	Computer Vision Deep Learning Machine Learning Image Classification Egocentric Vision