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Found 8 papers, 3 papers with code
Mars Spectrometry 2: Gas Chromatography -- Second place solution
The Mars Spectrometry 2: Gas Chromatography challenge was sponsored by NASA and run on the DrivenData competition platform in 2022.
A Realistic Fish-Habitat Dataset to Evaluate Algorithms for Underwater Visual Analysis
The dataset consists of approximately 40 thousand images collected underwater from 20 \green{habitats in the} marine-environments of tropical Australia.
Data-Efficient Classification of Birdcall Through Convolutional Neural Networks Transfer Learning
In this research, we evaluated the effectiveness of birdcall classification using transfer learning from a larger base dataset (2814 samples in 46 classes) to a smaller target dataset (351 samples in 10 classes) using the ResNet-50 CNN.
Automatic Weight Estimation of Harvested Fish from Images
The two CNNs were applied to the rest of the images and yielded automatically segmented masks.
Automatic segmentation of kidney and liver tumors in CT images
We have chosen MICCAI 2017 LiTS dataset for training process and the public 3DIRCADb dataset for validation of our method.
In Situ Cane Toad Recognition
Cane toads are invasive, toxic to native predators, compete with native insectivores, and have a devastating impact on Australian ecosystems, prompting the Australian government to list toads as a key threatening process under the Environment Protection and Biodiversity Conservation Act 1999.
Underwater Fish Detection with Weak Multi-Domain Supervision
Given a sufficiently large training dataset, it is relatively easy to train a modern convolution neural network (CNN) as a required image classifier.
DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning
This work contributes the first large, public, multiclass image dataset of weed species from the Australian rangelands; allowing for the development of robust classification methods to make robotic weed control viable.
