scott-brown/GFISHER

License

Works created by U.S. Government employees is not subject to copyright in the United States (17 U.S.C. §105). The United States/Department of Commerce reserve all rights to seek and obtain copyright protection in countries other than the United States for Software authored in its entirety by the Department of Commerce. To this end, the Department of Commerce hereby grants to Recipient a royalty-free, nonexclusive license to use, copy, and create derivative works of the Software outside of the United States.

Dataset Card for GFISHER

The GFISHER dataset provides species-level bounding-box annotations to assist in the detection, classification, and analysis of reef fish from underwater video surveys. The data originates from the Gulf Fishery Independent Survey of Habitat and Ecosystem Resources (G-FISHER) program, an integrated effort combining habitat mapping and stereo-baited remote underwater video (S-BRUV) surveys to characterize temporal and spatial variability in Gulf of Mexico reef fish assemblages.

Dataset Details

Dataset Description

• Shared by: CScott Brown (scott.brown@noaa.gov)
• License: Public Domain

Dataset Sources

• Paper: Prior JH, Campbell MD, Dawkins M, Mickle PF, Moorhead RJ, Alaba SY, Shah C, Salisbury JR, Rademacher KR, Felts AP and Wallace F (2023) Estimating precision and accuracy of automated video post-processing: A step towards implementation of AI/ML for optics-based fish sampling. Front. Mar. Sci. 10:1150651. doi: 10.3389/fmars.2023.1150651

Uses

Direct Use

This dataset is primarily intended for training computer vision models for automated fish counting.

Out-of-Scope Use

There are no specific out-of-scope uses identified for this dataset. However, users must adhere to the following disclaimer:

This repository is a scientific product and is not official communication of the National Oceanic and Atmospheric Administration, or the United States Department of Commerce. All NOAA GitHub project code is provided on an ‘as is’ basis and the user assumes responsibility for its use. Any claims against the Department of Commerce or Department of Commerce bureaus stemming from the use of this GitHub project will be governed by all applicable Federal law. Any reference to specific commercial products, processes, or services by service mark, trademark, manufacturer, or otherwise, does not constitute or imply their endorsement, recommendation or favoring by the Department of Commerce. The Department of Commerce seal and logo, or the seal and logo of a DOC bureau, shall not be used in any manner to imply endorsement of any commercial product or activity by DOC or the United States Government.

Dataset Structure

The dataset annotations are provided in the COCO Data Format.

The dataset is pre-split into train, validation, and test sets. The image and annotation counts for the splits are as follows:

Split	Images	Annotations
Train	201,586	560,879
Validation	35,543	93,735
Test	24,444	82,663

Taxa Distribution

The total annotation counts combined across all splits for each category are listed below:

Taxon	Count
Lutjanus campechanus	216942
Rhomboplites aurorubens	37939
Pagrus pagrus	28637
Stenotomus caprinus	26787
Mycteroperca phenax	21834
Ptereleotris	21688
Serranus annularis	17311
Chromis	15937
Epinephelus morio	15919
Malacanthus plumieri	15052
Balistes capriscus	14352
Mycteroperca microlepis	11721
Priacanthus arenatus	10610
Seriola dumerili	10485
Pronotogrammus martinicensis	10466
Serranus phoebe	10459
Anomura	10355
Pristipomoides	9627
Pterois	9344
Chaetodon sedentarius	9331
Calamus leucosteus	9288
Halichoeres	9044
Lutjanus griseus	8214
Haemulon aurolineatum	8084
Pristigenys alta	8002
Pomacentridae	7324
Anthiadidae	7044
Selene vomer	7007
Seriola rivoliana	6894
Calamus nodosus	6720
Caranx crysos	5754
Halichoeres bivittatus	5553
Holacanthus bermudensis	5506
Hyporthodus flavolimbatus	5155
Centropristis philadelphica	4504
Lutjanus synagris	4243
Opistognathus	4131
Lachnolaimus maximus	3885
Chaetodon ocellatus	3883
Prognathodes aya	3832
Serranus subligarius	3573
Paranthias furcifer	3434
Caulolatilus cyanops	3187
Chordata	3151
Calamus proridens	2916
Caulolatilus microps	2782
Stenocionops spinimanus	2636
Mycteroperca interstitialis	2619
Carcharhinus falciformis	2615
Seriola fasciata	2549
Canthigaster rostrata	2539
Decodon puellaris	2419
Lutjanus buccanella	1918
Chaetodon	1914
Caulolatilus chrysops	1873
Calamus bajonado	1770
Dermatolepis inermis	1678
Lutjanus analis	1639
Cephalopholis cruentata	1627
Bodianus rufus	1625
Upeneus parvus	1588
Epinephelus	1570
Bodianus pulchellus	1523
Seriola zonata	1451
Serranus	1279
Pomacanthus arcuatus	1277
Holocentrus adscensionis	1266
Centropristis ocyurus	1209
Pareques umbrosus	1162
Mullidae	1110
Sphyraena barracuda	1073
Carcharhinus	1070
Diplectrum formosum	1058
Urophycis regia	1053
Canthigaster jamestyleri	1033
Halichoeres bathyphilus	1028
Ocyurus chrysurus	911
Gymnothorax saxicola	868
Archosargus probatocephalus	843
Liopropoma eukrines	797
Haemulon album	775
Syacium	738
Hyporthodus nigritus	737
Mycteroperca bonaci	735
Canthidermis sufflamen	719
Sphyrna lewini	697
Ophichthus puncticeps	659
Serranus tortugarum	655
Calamus	647
Chaetodon capistratus	632
Muraena retifera	599
Opistognathus aurifrons	530
Caranx bartholomaei	505
Alectis ciliaris	487
Lutjanus vivanus	434
Rypticus maculatus	432
Seriola	418
Gymnothorax moringa	403
Gobiidae	384
Serranus atrobranchus	380
Haemulon melanurum	345
Balistes vetula	298
Synodontidae	291
Mycteroperca	282
Epinephelus adscensionis	217
Pomacanthus paru	212
Caranx ruber	200
Monacanthus tuckeri	196
Stegastes partitus	190
Lutjanus apodus	176
Chaetodipterus faber	171
Ostichthys trachypoma	168
Chromis enchrysurus	166
Callionymidae	157
Haemulon	141
Hypoplectrus	133
Haemulon plumierii	132
Holocentrus	127
Acanthurus	125
Chromis insolata	122
Xanthichthys ringens	108
Haemulon flavolineatum	98
Carangidae	88
Carcharhinus plumbeus	81
Hypoplectrus unicolor	74
Lutjanus	67
Acanthurus coeruleus	61
Holacanthus	61
Halichoeres garnoti	57
Decapterus	54
Gonioplectrus hispanus	47
Kyphosus	47
Thalassoma bifasciatum	44
Albula vulpes	41
Sciaenidae	41
Anisotremus virginicus	38
Rachycentron canadum	36
Lactophrys trigonus	31
Calotomus	30
Sparisoma viride	30
Haemulon macrostomum	28
Scomberomorus	26
Elagatis bipinnulata	22
Pseudupeneus maculatus	22
Mulloidichthys martinicus	18
Sparisoma aurofrenatum	17
Scomberomorus maculatus	15
Pomacanthus	14
Eques lanceolatus	11
Diodontidae	10
Hypoplectrus gemma	10
Scarus vetula	8
Sparidae	8
Prognathodes aculeatus	4
Cephalopholis fulva	3

Dataset Creation

Data Collection and Processing

Source images for this dataset are individual frames extracted from stereo-baited remote underwater video (S-BRUV) surveys. These surveys are deployed along the continental shelf and shelf edge of the Gulf of Mexico to sample both natural and artificial reef habitats.

Who are the annotators?

The annotations were performed by expert NOAA marine ecologists.

Bias, Risks, and Limitations

The data provided in this dataset are not representative of a comprehensive survey. Instead, the images have been cherry-picked from broader survey data collections.

Citation

BibTeX:

@article{prior2023estimating,
  title={Estimating precision and accuracy of automated video post-processing: A step towards implementation of AI/ML for optics-based fish sampling},
  author={Prior, JH and Campbell, MD and Dawkins, M and Mickle, PF and Moorhead, RJ and Alaba, SY and Shah, C and Salisbury, JR and Rademacher, KR and Felts, AP and Wallace, F},
  journal={Frontiers in Marine Science},
  volume={10},
  pages={1150651},
  year={2023},
  publisher={Frontiers Media SA},
  doi={10.3389/fmars.2023.1150651}
}

APA:

Prior, J. H., Campbell, M. D., Dawkins, M., Mickle, P. F., Moorhead, R. J., Alaba, S. Y., Shah, C., Salisbury, J. R., Rademacher, K. R., Felts, A. P., & Wallace, F. (2023). Estimating precision and accuracy of automated video post-processing: A step towards implementation of AI/ML for optics-based fish sampling. Front. Mar. Sci. 10:1150651. doi: 10.3389/fmars.2023.1150651