Versions
Versions
2025-02-25 1:53am
v11
40797
2025-02-23 8:36pm
v10
30197
640x640
Stretch to
2025-02-23 8:30pm
v9
30483
640x640
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2025-02-16 7:05pm
v8
45855
640x640
Stretch to
2025-02-12 3:24pm
v7
26973
640x640
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2025-02-12 3:14pm
v6
27759
640x640
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2025-02-12 2:52pm
v5
27759
640x640
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2025-02-04 6:26pm
v4
91248
640x640
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2025-01-22 4:50pm
v3
29818
Fast
COCO
2025-01-22 4:46pm
v2
29818
640x640
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2025-01-22 3:01pm
v1
29817
640x640
Stretch to
v11
2025-02-25 1:53am
Generated on Feb 24, 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.
Other Formats
Choose another format.
40797 Total Images
View All Images
Dataset Split
Train Set 78%
31800Images
Valid Set 15%
6076Images
Test Set 7%
2921Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -14% and +14%
Noise: Up to 1.52% of pixels