test Image Dataset
Versions
2024-02-26 10:32pm
v11
Feb 27, 2024
2024-02-26 9:58pm
v10
Feb 27, 2024
2024-02-26 9:52pm
v9
Feb 27, 2024
2024-02-26 9:42pm
v8
Feb 27, 2024
2024-02-26 9-41pm
v7
Feb 27, 2024
2024-02-22 6:24pm
v6
Feb 22, 2024
2024-02-22 6:23pm
v5
Feb 22, 2024
2024-02-21 10:31pm
v4
Feb 22, 2024
2024-02-15 8:31am
v3
Feb 15, 2024
2024-02-12 9:45pm
v2
Feb 13, 2024
2024-02-12 9:20pm
v1
Feb 13, 2024
v2
2024-02-12 9:45pm
Generated on Feb 13, 2024
Popular Download Formats
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.
256 Total Images
View All Images
Dataset Split
Train Set 71%
183Images
Valid Set 17%
43Images
Test Set 12%
30Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
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