Dataset Versions
Versions
2024-08-23 7:24pm
v16
· 3 months ago
2024-07-16 3:11pm
v15
· 4 months ago
2024-07-10 2:21pm
v14
· 4 months ago
2024-07-08 9:36pm
v12
· 4 months ago
2024-07-08 6:01pm
v11
· 4 months ago
2024-07-04 6:17pm
v9
· 4 months ago
2024-07-04 3:57pm
v7
· 4 months ago
2024-07-03 8:02pm
v6
· 4 months ago
2024-07-03 5:41pm
v5
· 4 months ago
2024-07-02 8:58pm
v4
· 4 months ago
2024-06-28 5:06pm
v2
· 5 months ago
2024-06-27 7:49pm
v1
· 5 months ago
v12
2024-07-08 9:36pm
Generated on Jul 8, 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.
Other Formats
Choose another format.
692 Total Images
View All ImagesDataset Split
Train Set 88%
612Images
Valid Set %
0Images
Test Set 12%
80Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-96% Horizontal Region, 25-94% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 2 columns
Filter Null: Require at least 31% of images to contain annotations.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 21% Maximum Zoom
Rotation: Between -14° and +14°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Exposure: Between -15% and +15%
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