Dataset Versions
Versions
2023-06-05 12:57pm
v11
· 2 years ago
2023-05-11 4:17pm
v10
· 2 years ago
2023-04-17 2:51pm
v9
· 2 years ago
2023-04-17 12:22pm
v8
· 2 years ago
2023-04-17 11:51am
v7
· 2 years ago
2023-04-14 6:23pm
v6
· 2 years ago
2023-04-14 6:11pm
v5
· 2 years ago
2023-04-12 4:27pm
v4
· 2 years ago
2023-04-12 4:00pm
v3
· 2 years ago
2023-04-12 3:34pm
v2
· 2 years ago
2023-04-12 3:30pm
v1
· 2 years ago
v2
2023-04-12 3:34pm
Generated on Apr 12, 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.
1050 Total Images
View All Images
Dataset Split
Train Set 92%
971Images
Valid Set 6%
59Images
Test Set 2%
20Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 24 dropped
Filter Null: Require at least 80% of images to contain annotations.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -17° and +17°
Shear: ±10° Horizontal, ±0° Vertical
Blur: Up to 1px
Noise: Up to 1% of pixels