Dataset Versions

Versions
2022-04-30 3:00am
v21
·
3 years ago
2022-04-29 10:57pm
v20
·
3 years ago
2022-04-29 10:56pm
v19
·
3 years ago
2022-04-29 10:55pm
v18
·
3 years ago
2022-04-29 8:07pm
v17
·
3 years ago
2022-04-29 8:06pm
v16
·
3 years ago
2022-04-29 7:53pm
v15
·
3 years ago
2022-04-23 8:14pm
v14
·
3 years ago
2022-04-23 6:16pm
v13
·
3 years ago
Optimized
v12
·
3 years ago
MIXED
v11
·
3 years ago
Sabarni_yarb
v10
·
3 years ago
2022-04-06 4:01pm
v9
·
3 years ago
2022-04-06 3:58pm
v8
·
3 years ago
2022-04-05 2:01am
v7
·
3 years ago
ROV_3
v6
·
3 years ago
ROV_2
v5
·
3 years ago
ROV
v4
·
3 years ago
Last_Version
v3
·
3 years ago
2022-03-19 3:49pm
v2
·
3 years ago
NEW MORT FISH MATE
v1
·
3 years ago
v16

2022-04-29 8:06pm

Generated on Apr 29, 2022
Download

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
Choose another format.

518 Total Images

View All Images
Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image

Dataset Split

Train Set 81%
420Images
Valid Set 15%
76Images
Test Set 4%
22Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-72% Horizontal Region, 30-95% Vertical Region
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -49% and +49%
Cutout: 3 boxes with 10% size each

Similar Projects

See More