Dataset Versions
Versions
Annotation Model 640
v10
· 2 months ago
2024-10-10 6:34pm
v9
· 2 months ago
Annotation Model
v8
· 2 months ago
2024-10-09 8:34am
v7
· 2 months ago
2024-10-09 8:03am
v6
· 2 months ago
2024-10-09 6:55am
v5
· 2 months ago
2024-09-23 7:44pm
v4
· 3 months ago
NoCrop_FitWithin
v3
· 3 months ago
252_Ballonly
v2
· 3 months ago
small_Ballonly
v1
· 3 months ago
v8
Annotation Model
Generated on Oct 10, 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.
898 Total Images
View All Images
Dataset Split
Train Set 88%
786Images
Valid Set 8%
75Images
Test Set 4%
37Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1056x1056
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%