imageomics/x3d-kabr-kinetics

Updated Aug 23, 2024 • 1

Note This is a behavior recognition model for in situ drone videos of zebras and giraffes, built using X3D model initialized on Kinetics weights. It is trained on the KABR dataset, which is comprised of 10 hours of aerial video footage of reticulated giraffes (Giraffa reticulata), Plains zebras (Equus quagga), and Grevy’s zebras (Equus grevyi) captured using a DJI Mavic 2S drone. It includes both spatiotemporal (i.e., mini-scenes) and behavior annotations provided by an expert behavioral ecologist.

imageomics/yolo_beetle_detection

Updated Aug 15, 2024

Note This model detects beetles and scale bars in images by drawing bounding boxes around the respective items. This model was developed to facilitate downstream applications during BeetlePalooza 2024.

imageomics/butterfly_detection_yolo

Updated Feb 26

Note This model takes in images of butterflies as photographed for museum collections and detects butterfly components (L/R forewings, L/R hindwings and body) as well as color checkers and metadata labels.

imageomics/bioclip-2

Zero-Shot Image Classification • Updated 7 days ago • 7.54k • 14

Note BioCLIP 2 is a foundation model for biology organismal images. It is trained on TreeOfLife-200M on the basis of a CLIP model (ViT-14/L) pre-trained on LAION-2B. BioCLIP 2 yields state-of-the-art performance in recognizing various species. More importantly, it demonstrates emergent properties beyond species classification after extensive hierarchical contrastive training.

imageomics/bioclip

Zero-Shot Image Classification • Updated May 17, 2024 • 163k • 51

Note BioCLIP is a foundation model for the tree of life, built using CLIP architecture as a vision model for general organismal biology. It is trained on TreeOfLife-10M, our specially-created dataset covering over 450K taxa--the most biologically diverse ML-ready dataset available to date.

imageomics/INTR

Updated Mar 21, 2024

Note A simple Interpretable Transformer for fine-grained image classification and analysis.

imageomics/bioclip-vit-b-16-inat-only

Zero-Shot Image Classification • Updated Feb 6, 2024 • 4

Note This model is trained on iNat21, different from BioCLIP which is trained on TreeOfLife-10M.

imageomics/BGNN-trait-segmentation

Image Segmentation • Updated Dec 13, 2023 • 2

Note This model takes in an image of a fish and segments out traits.

imageomics/Drexel-metadata-generator

Object Detection • Updated Dec 13, 2023

Note This model was designed to generate metadata for images of [museum] fish specimens. In addition to the metadata and quality metrics achieved with our initial model, this updated model also generates various geometric and statistical properties on the mask generated over the biological specimen presented (examples: convex area, eccentricity, perimeter, skew). The updates to our model further improve on the accuracy, and time and labor cost over human generation.

imageomics/butterfly_segmentation_unet

Updated Nov 9, 2023

Note This model takes in an image of a butterfly (with or without body attached to wings) and segments out any existing hindwings and forewings, in addition to pictured equipment.

imageomics/butterfly_segmentation_yolo_v8

Updated Mar 25, 2024

Note This model takes in an image of a butterfly (with or without body attached to wings) and segments out any existing hindwings and forewings, in addition to pictured equipment.