---
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 :)