beerys

Research in computer vision to monitor biodiversity and the environment

MIT

Pinned Repositories

auto-arborist
Language:CSS0 0 00
bbabenko.github.io
Language:HTML0 1 00
beerys.github.io
Language:HTML4 1 02
bird-classification
Language:Python1 1 00
CaltechCS156A
Homeworks from Caltech's Learning Systems course (CS156A) Fall 2018
Language:JavaScript0 1 00
Convert_Imagenet_to_COCO_format
Tools for converting imagenet data to a COCO-style database
Language:Python2 1 00
cv4ecology.github.io
Summer course webpage
Language:CSS1 0 00
fast_segmentation
Language:Jupyter Notebook1 1 01
geo_prior
Presence-Only Geographical Priors for Fine-Grained Image Classification - ICCV 2019
Language:Python0 0 00
GGRCameraTraps
Visualization Code for GGR Camera Traps Data
0 1 00

beerys's Repositories

beerys/beerys.github.io
Language:HTML4 1 02
beerys/Convert_Imagenet_to_COCO_format
Tools for converting imagenet data to a COCO-style database
Language:Python2 1 00
beerys/bird-classification
Language:Python1 1 00
beerys/cv4ecology.github.io
Summer course webpage
Language:CSS1 0 00
beerys/fast_segmentation
Language:Jupyter Notebook1 1 01
beerys/auto-arborist
Language:CSS0 0 00
beerys/bbabenko.github.io
Language:HTML0 1 00
beerys/CaltechCS156A
Homeworks from Caltech's Learning Systems course (CS156A) Fall 2018
Language:JavaScript0 1 00
beerys/geo_prior
Presence-Only Geographical Priors for Fine-Grained Image Classification - ICCV 2019
Language:Python0 0 00
beerys/GGRCameraTraps
Visualization Code for GGR Camera Traps Data
0 1 00
beerys/ML-Visualization-Project
Language:OpenEdge ABL0 2 00
beerys/multibox
Language:OpenEdge ABL1 0