ML Models
Machine learning models for palaeontological analysis
4
Total Models
1
Deployed
1
Training
92.0%
Avg Accuracy
Species Classifier v2.1
classification · ResNet-152
deployed
Deep learning model for automated species identification from fossil images.
Accuracy:94.7%
Dataset: FossilImageNet (12,000 images)
Updated Jan 10, 2024
Bone Fragment Detector
detection · YOLOv8
trained
Object detection model for identifying bone fragments in field photographs.
Accuracy:89.2%
Dataset: FieldPhoto Dataset (8,500 images)
Updated Jan 8, 2024
Stratigraphy Segmentation
segmentation · U-Net
training
Semantic segmentation of geological strata in outcrop photos.
Training Progress73%
Dataset: OutcropSeg (3,200 images)
Updated Jan 12, 2024
Fossil Reconstruction GAN
generation · StyleGAN3
draft
Generative model for reconstructing damaged fossil specimens.
Updated Jan 10, 2024