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---
dataset_info:
features:
- name: image
dtype: image
- name: options
sequence: string
- name: answer
dtype: int32
- name: observation_id
dtype: int32
splits:
- name: train
num_bytes: 10910563.0
num_examples: 100
download_size: 10897123
dataset_size: 10910563.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
SpecID is a dataset/eval consisting of 100 photographs I (Jonathan Whitaker) have taken, with robust species-level IDs. Each comes with up to four 'distractors' from the same family. THe goal is to correctly identify the organism in the picture.
Code to create a similar eval from iNaturalist data: https://github.com/johnowhitaker/specid_eval
Results for popular models coming soon :) |