Dataset Versions
v3
2024-03-18 8:07pm
Generated on Mar 19, 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.
8031 Total Images
View All Images
Dataset Split
Train Set 85%
6843Images
Valid Set 10%
765Images
Test Set 5%
423Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 2048x2048
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 3 rows x 3 columns
Filter Null: Require at least 20% of images to contain annotations.
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -15° and +15°
Saturation: Between -46% and +46%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 1% of pixels
Cutout: 5 boxes with 9% size each
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 10% Maximum Zoom
Bounding Box: Shear: ±13° Horizontal, ±13° Vertical
Bounding Box: Exposure: Between -15% and +15%
Bounding Box: Blur: Up to 2px
Bounding Box: Noise: Up to 1% of pixels