Dataset Versions
Versions
with_bogue_data
v22
· 8 months ago
first_yolov9
v21
· 8 months ago
with_jordan_lake_data
v20
· 8 months ago
clear_boats_only
v19
· 9 months ago
optimized_labeling_v2
v18
· 9 months ago
optimized_labeling
v17
· 9 months ago
2024-02-19 7:11pm
v16
· 9 months ago
TrainingSession4
v15
· 3 years ago
TrainingSession3_640x640
v14
· 3 years ago
TrainingSession3
v13
· 3 years ago
TrainingSession2_1024x1024
v12
· 3 years ago
TrainingSession2_Resized
v11
· 3 years ago
TrainingSession2_Removed_Mosaic
v10
· 3 years ago
TrainingSession2_Augmentation_Added_1777x1000
v9
· 3 years ago
TrainingSession2_1000x1000
v8
· 3 years ago
TrainingSession2_Size_800x800
v7
· 3 years ago
TrainingSession2
v6
· 3 years ago
TrainingSession1_Preprocess_Changed
v5
· 3 years ago
TrainingSession1_Excess_Removed
v4
· 3 years ago
TrainingSession1
v3
· 3 years ago
2022-02-09 7:15pm
v2
· 3 years ago
2021-09-26 1:32pm
v1
· 3 years ago
v22
with_bogue_data
Generated on Mar 29, 2024
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.
2729 Total Images
View All Images
Dataset Split
Train Set 88%
2391Images
Valid Set 11%
287Images
Test Set 2%
51Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -10° and +10°
Brightness: Between -10% and +10%
Exposure: Between -15% and +15%