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
v3
Last_Version
Generated on Mar 30, 2022
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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.
2672 Total Images
View All Images
Dataset Split
Train Set 88%
2352Images
Valid Set 8%
212Images
Test Set 4%
108Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-72% Horizontal Region, 30-95% Vertical Region
Resize: Stretch to 416x416
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -49% and +49%
Blur: Up to 3px
Noise: Up to 11% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -30% and +30%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 10px
Bounding Box: Noise: Up to 8% of pixels