Dataset Versions
Versions
2023-03-23 3:03pm
v10
· 2 years ago
2023-03-22 11:45pm
v9
· 2 years ago
2023-03-22 11:27pm
v7
· 2 years ago
2023-03-21 6:58pm
v6
· 2 years ago
2023-03-20 5:10pm
v5
· 2 years ago
2023-03-17 10:13pm
v4
· 2 years ago
2023-03-17 2:36pm
v3
· 2 years ago
2023-03-16 4:57pm
v2
· 2 years ago
2023-03-16 4:46pm
v1
· 2 years ago
v3
2023-03-17 2:36pm
Generated on Mar 17, 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.
285 Total Images
View All Images
Dataset Split
Train Set 90%
256Images
Valid Set 7%
21Images
Test Set 3%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 3 rows x 3 columns
Filter Null: Require at least 85% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -40° and +40°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Blur: Up to 10px
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