Dataset Versions
v2
dataset_annot_augm_v_02
Generated on Dec 15, 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.
Other Formats
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929 Total Images
View All Images
Dataset Split
Train Set 94%
873Images
Valid Set 4%
38Images
Test Set 2%
18Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 1280x720
Modify Classes: 8 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Grayscale: Apply to 15% of images
Saturation: Between -30% and +30%
Blur: Up to 3px
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Brightness: Between -20% and +20%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Noise: Up to 5% of pixels