Versions
Versions
2025-03-16 8:36pm
v9
1062
Accurate
COCOs
2025-03-16 3:38pm
v8
1056
Accurate
COCOs
2025-03-01 2:07pm
v7
3282
820x820
Stretch to
2025-02-28 2:11pm
v6
3282
Accurate
COCOs
2025-02-20 9:47am
v5
3191
Accurate
COCOs
2025-02-20 9:45am
v4
3191
Accurate
COCOs
2025-02-19 4:14pm
v3
3191
2025-02-19 12:35pm
v2
3191
Accurate
fafo-jdefk/1
2025-02-17 11:47am
v1
3191
Accurate
COCOs
v9
2025-03-16 8:36pm
Generated on Mar 16, 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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1062 Total Images
View All Images
Dataset Split
Train Set 91%
963Images
Valid Set 6%
66Images
Test Set 3%
33Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 820x820
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels