Dataset Versions
v1
DataCompAugmentv1
Generated on Oct 24, 2021
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.
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38340 Total Images
View All Images
Dataset Split
Train Set 80%
30636Images
Valid Set 10%
3852Images
Test Set 10%
3852Images
Preprocessing
Auto-Orient: Applied
Static Crop: 15-81% Horizontal Region, 15-86% Vertical Region
Resize: Stretch to 520x520
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 6 rows x 6 columns
Augmentations
Outputs per training example: 1
Flip: Horizontal
Rotation: Between -20° and +20°
Shear: ±22° Horizontal, ±17° Vertical
Hue: Between -35° and +35°
Exposure: Between -25% and +25%
Blur: Up to 6.25px
Cutout: 3 boxes with 10% size each
Mosaic: Applied
Bounding Box: Brightness: Between -32% and +32%
Bounding Box: Noise: Up to 6% of pixels