Griffith University

Dolphins

Object Detection

Dolphins Image Dataset

Versions
2024-05-14 9:22pm
v54
May 14, 2024
2024-05-14 8:56pm
v53
May 14, 2024
2024-05-14 2:33pm
v52
May 14, 2024
2024-04-29 1:11pm
v51
Apr 29, 2024
2024-04-23 12:51am
v50
Apr 22, 2024
2024-04-22 11:56pm
v49
Apr 22, 2024
2024-04-22 11:32pm
v48
Apr 22, 2024
2024-04-22 11:01pm
v47
Apr 22, 2024
2024-04-22 10:25pm
v46
Apr 22, 2024
2024-02-23 8:42pm
v45
Feb 23, 2024
2024-02-23 8:25pm
v44
Feb 23, 2024
2024-02-23 8:24pm
v43
Feb 23, 2024
2024-02-23 8:22pm
v42
Feb 23, 2024
2024-02-23 8:17pm
v41
Feb 23, 2024
2024-02-23 8:16pm
v40
Feb 23, 2024
2ndnewtest
v39
Feb 23, 2024
2024-02-23 4:06pm
v38
Feb 23, 2024
2024-02-23 3:45pm
v37
Feb 23, 2024
noraaf
v36
Feb 23, 2024
2024-02-22 10:52pm
v35
Feb 22, 2024
2024-02-22 1:14pm
v34
Feb 22, 2024
2024-02-22 6:37am
v33
Feb 21, 2024
2024-02-22 6:27am
v32
Feb 21, 2024
data_no_RAAF
v31
Feb 21, 2024
2024-02-15 3:36am
v30
Feb 14, 2024
2024-02-15 2:07am
v29
Feb 14, 2024
2024-02-15 1:55am
v28
Feb 14, 2024
2024-02-14 10:58pm
v27
Feb 14, 2024
2024-02-14 10:48pm
v26
Feb 14, 2024
no_raaf
v25
Feb 8, 2024
learned_on_v6
v23
Feb 7, 2024
standard
v21
Jan 16, 2024
2024-01-16 8:37pm
v20
Jan 16, 2024
2024-01-15 1:18pm
v19
Jan 15, 2024
2024-01-07 6:37pm
v18
Jan 7, 2024
2024-01-07 11:58am
v17
Jan 7, 2024
2024-01-07 5:41am
v16
Jan 6, 2024
2024-01-07 12:08am
v15
Jan 6, 2024
2024-01-02 1:25pm
v14
Jan 2, 2024
2024-01-02 1:22pm
v13
Jan 2, 2024
2024-01-02 2:03am
v12
Jan 1, 2024
2024-01-01 10:01pm
v11
Jan 1, 2024
2024-01-01 6:18pm
v10
Jan 1, 2024
2024-01-01 6:17pm
v9
Jan 1, 2024
2024-01-01 12:11pm
v8
Jan 1, 2024
2023-12-29 10:37am
v7
Dec 29, 2023
2023-12-29 1:33am
v6
Dec 28, 2023
2023-12-28 2:34am
v5
Dec 27, 2023
2023-12-28 1:29am
v4
Dec 27, 2023
2023-12-28 1:28am
v3
Dec 27, 2023
2023-12-28 12:57am
v2
Dec 27, 2023
2023-12-25 5:14am
v1
Dec 24, 2023
v54

2024-05-14 9:22pm

Generated on May 14, 2024

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
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Dataset Split

Train Set 80%
595Images
Valid Set 20%
152Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Modify Classes: 0 remapped, 5 dropped
Filter by Tag: 1 required, 0 dropped

Augmentations

No augmentations were applied.