Dataset Versions
Versions
7.10_add
v27
· 6 months ago
7.10_v26
v26
· 6 months ago
2024-07-02 1:04am
v25
· 6 months ago
RC_5.10_v24
v24
· 8 months ago
RC_5.8
v22
· 8 months ago
rc_4.26_2592
v18
· 8 months ago
2024-04-19 11:55pm
v17
· 9 months ago
2024-04-19 11:36pm
v14
· 9 months ago
blue
v11
· 9 months ago
2024-04-19 12:41pm
v9
· 9 months ago
1
v5
· 10 months ago
v5
1
Generated on Mar 4, 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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1538 Total Images
View All Images
Dataset Split
Train Set 88%
1347Images
Valid Set 8%
128Images
Test Set 4%
63Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -24% and +24%