metadata
license: apache-2.0
dataset_info:
- config_name: clip_quad_modal
features:
- name: 'Unnamed: 0.4'
dtype: int64
- name: image_url
dtype: string
- name: sound_url
dtype: string
- name: 'Unnamed: 0.3'
dtype: int64
- name: 'Unnamed: 0.2'
dtype: int64
- name: 'Unnamed: 0.1'
dtype: int64
- name: 'Unnamed: 0'
dtype: int64
- name: id
dtype: int64
- name: observed_on_string
dtype: string
- name: observed_on
dtype: string
- name: time_observed_at
dtype: string
- name: time_zone
dtype: string
- name: user_id
dtype: int64
- name: user_login
dtype: string
- name: user_name
dtype: string
- name: created_at
dtype: string
- name: updated_at
dtype: string
- name: quality_grade
dtype: string
- name: license
dtype: string
- name: url
dtype: string
- name: tag_list
dtype: string
- name: description
dtype: string
- name: num_identification_agreements
dtype: int64
- name: num_identification_disagreements
dtype: int64
- name: captive_cultivated
dtype: bool
- name: oauth_application_id
dtype: float64
- name: place_guess
dtype: string
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: positional_accuracy
dtype: float64
- name: private_place_guess
dtype: float64
- name: private_latitude
dtype: float64
- name: private_longitude
dtype: float64
- name: public_positional_accuracy
dtype: float64
- name: geoprivacy
dtype: string
- name: taxon_geoprivacy
dtype: string
- name: coordinates_obscured
dtype: bool
- name: positioning_method
dtype: string
- name: positioning_device
dtype: string
- name: species_guess
dtype: string
- name: scientific_name
dtype: string
- name: common_name
dtype: string
- name: iconic_taxon_name
dtype: string
- name: taxon_id
dtype: int64
- name: sound_format
dtype: string
splits:
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num_bytes: 48900983
num_examples: 68824
- name: val
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num_examples: 7501
download_size: 21473814
dataset_size: 54217824
- config_name: clip_tri_modal
features:
- name: id
dtype: int64
- name: sat_key
dtype: string
- name: sat_path
dtype: string
- name: sat_bounds
struct:
- name: max_lat
dtype: float64
- name: max_lon
dtype: float64
- name: min_lat
dtype: float64
- name: min_lon
dtype: float64
- name: img_ids
sequence: int64
- name: target_positions
sequence:
sequence: int64
splits:
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num_bytes: 114789736
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- name: val
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num_examples: 57752
download_size: 62896043
dataset_size: 124261740
- config_name: search_quad_modal
features:
- name: id
dtype: int64
- name: sat_key
dtype: string
- name: sat_path
dtype: string
- name: taxonomy
dtype: string
- name: count
dtype: int64
- name: spread
dtype: float64
- name: sat_bounds
struct:
- name: max_lat
dtype: float64
- name: max_lon
dtype: float64
- name: min_lat
dtype: float64
- name: min_lon
dtype: float64
- name: img_ids
sequence: int64
- name: target_positions
sequence:
sequence: int64
- name: num_landmarks
dtype: int64
- name: sound_ids
sequence: int64
splits:
- name: train
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- name: val_in_domain
num_bytes: 155806
num_examples: 459
- name: val_out_domain
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num_examples: 391
download_size: 2844508
dataset_size: 5524928
- config_name: search_tri_modal
features:
- name: id
dtype: int64
- name: sat_key
dtype: string
- name: sat_path
dtype: string
- name: taxonomy
dtype: string
- name: count
dtype: int64
- name: spread
dtype: float64
- name: sat_bounds
struct:
- name: max_lat
dtype: float64
- name: max_lon
dtype: float64
- name: min_lat
dtype: float64
- name: min_lon
dtype: float64
- name: img_ids
sequence: int64
- name: target_positions
sequence:
sequence: int64
- name: num_landmarks
dtype: int64
splits:
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- name: val_in_domain
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- name: val_out_domain
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num_examples: 4000
download_size: 13604442
dataset_size: 29593863
configs:
- config_name: clip_quad_modal
data_files:
- split: train
path: clip_quad_modal/train-*
- split: val
path: clip_quad_modal/val-*
- config_name: clip_tri_modal
data_files:
- split: train
path: clip_tri_modal/train-*
- split: val
path: clip_tri_modal/val-*
- config_name: search_quad_modal
data_files:
- split: train
path: search_quad_modal/train-*
- split: val_in_domain
path: search_quad_modal/val_in_domain-*
- split: val_out_domain
path: search_quad_modal/val_out_domain-*
- config_name: search_tri_modal
data_files:
- split: train
path: search_tri_modal/train-*
- split: val_in_domain
path: search_tri_modal/val_in_domain-*
- split: val_out_domain
path: search_tri_modal/val_out_domain-*
Model Card for Search-TTA-Dataset
Dataset to finetune search_tta_sat and search_tta_sound CLIP models.
For more information on usage, please refer to the Search-TTA-VLN Github repository here.
Citation
@inproceedings{tan2025searchtta,
title = {Search-TTA: A Multi-Modal Test-Time Adaptation Framework for Visual Search in the Wild},
author = {Tan, Derek Ming Siang and Shailesh, Shailesh and Liu, Boyang and Raj, Alok and Ang, Qi Xuan and Dai, Weiheng and Duhan, Tanishq and Chiun, Jimmy and Cao, Yuhong and Shkurti, Florian and Sartoretti, Guillaume Adrien},
booktitle = {Proceedings of The 9th Conference on Robot Learning},
pages = {2093--2120},
year = {2025},
volume = {305},
publisher = {PMLR}
}
@inproceedings{sastry2025taxabind,
title = {Taxabind: A unified embedding space for ecological applications},
author = {Sastry, Srikumar and Khanal, Subash and Dhakal, Aayush and Ahmad, Adeel and Jacobs, Nathan},
booktitle = {2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
pages = {1765--1774},
year = {2025},
url = {https://arxiv.org/abs/2505.11350}
}