Dataset Versions
Versions
2024-01-11 2:34pm
v10
· a year ago
2023-12-09 11:34am
v9
· a year ago
2023-10-27 10:34am
v7
· a year ago
2023-10-27 10:31am
v6
· a year ago
2023-10-27 10:30am
v5
· a year ago
2023-10-27 10:29am
v4
· a year ago
2023-10-27 10:28am
v3
· a year ago
2023-10-27 10:28am
v2
· a year ago
2023-10-27 10:27am
v1
· a year ago
v10
2024-01-11 2:34pm
Generated on Jan 11, 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.
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968 Total Images
View All ImagesDataset Split
Train Set 78%
756Images
Valid Set 12%
116Images
Test Set 10%
96Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each