Dataset Versions
Versions
2023-10-11 10:52pm
v9
· a year ago
2023-10-03 11:30pm
v8
· a year ago
2023-10-03 11:08pm
v7
· a year ago
SEAMaP - Binary - 0.75
v6
· a year ago
SEAMaP - Binary - 0.50
v5
· a year ago
SEAMaP - Binary - 0.25
v4
· a year ago
SEAMaP Binary OG
v3
· a year ago
2023-08-02 2:34pm
v2
· a year ago
YOLOv5 02-08-2023
v1
· a year ago
v3
SEAMaP Binary OG
Generated on Aug 3, 2023
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.
1335 Total Images
View All Images
Dataset Split
Train Set 87%
1164Images
Valid Set 8%
112Images
Test Set 4%
59Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 3% Minimum Zoom, 12% Maximum Zoom
Shear: ±4° Horizontal, ±4° Vertical
Brightness: Between -19% and +19%
Blur: Up to 1px