Versions
Versions
2025-05-11 6:23pm
v7
260
2025-05-11 6:23pm
v6
260
640x640
Fill (with center crop) in
2025-05-11 6:22pm
v5
260
640x640
Fill (with center crop) in
2025-02-17 4:06pm
v4
260
640x640
Fill (with center crop) in
2025-02-17 4:00pm
v3
1040
640x640
Fill (with center crop) in
2024-11-21 12:38pm
v2
240
Fast
COCOn
2024-11-12 3:22pm
v1
100
Fast
COCOn
v7
2025-05-11 6:23pm
Generated on May 11, 2025
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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260 Total Images
View All Images
Dataset Split
Train Set 92%
240Images
Valid Set %
0Images
Test Set 8%
20Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Grayscale: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 16% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels