Dataset Versions
v3
2023-05-21 1:45am
Generated on May 20, 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.
79592 Total Images
View All Images
Dataset Split
Train Set 84%
67224Images
Valid Set 11%
8948Images
Test Set 4%
3420Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Hue: Between -25° and +25°
Saturation: Between -32% and +32%
Brightness: Between -2% and +2%
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Cutout: 13 boxes with 8% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Shear: ±33° Horizontal, ±33° Vertical
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 4px
Bounding Box: Noise: Up to 5% of pixels