Dataset Versions
Versions
2024-08-01 8:36am
v9
· 4 months ago
2024-07-21 6:15am
v8
· 4 months ago
2024-07-20 5:45pm
v7
· 4 months ago
2024-07-20 5:31pm
v6
· 4 months ago
2024-07-16 4:22am
v5
· 4 months ago
2024-06-12 3:01pm
v4
· 5 months ago
2024-06-11 9:46pm
v3
· 5 months ago
2024-06-05 7:59pm
v2
· 5 months ago
2024-06-05 5:38pm
v1
· 5 months ago
v7
2024-07-20 5:45pm
Generated on Jul 20, 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.
808 Total Images
View All Images
Dataset Split
Train Set 83%
672Images
Valid Set 12%
96Images
Test Set 5%
40Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Fit within 640x640
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 2
Rotation: Between -2° and +2°
Shear: ±2° Horizontal, ±1° Vertical