Dataset Versions
Versions
2023-04-11 9:43pm
v23
· 2 years ago
2023-04-11 9:42pm
v22
· 2 years ago
2023-04-11 12:29am
v21
· 2 years ago
2023-04-10 9:16pm
v19
· 2 years ago
2023-04-10 8:57pm
v15
· 2 years ago
2023-04-05 10:12pm
v5
· 2 years ago
2023-04-05 8:49pm
v3
· 2 years ago
2023-04-05 12:05am
v2
· 2 years ago
2023-04-04 4:59pm
v1
· 2 years ago
v5
2023-04-05 10:12pm
Generated on Apr 5, 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.
26704 Total Images
View All Images
Dataset Split
Train Set 86%
23052Images
Valid Set 8%
2192Images
Test Set 5%
1460Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
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, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±4° Horizontal, ±7° Vertical
Hue: Between -33° and +33°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -22% and +22%
Blur: Up to 10px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each