Dataset Versions
Versions
2024-11-28 1:43pm
v65
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a month ago
2024-11-28 1:43pm
v64
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2024-11-28 1:42pm
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2024-11-28 1:41pm
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2024-11-28 1:36pm
v54
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2024-11-25 10:45am
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2024-11-22 1:21pm
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2024-11-21 4:05pm
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2024-11-21 3:12pm
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2024-11-19 9:45pm
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2024-11-18 10:21pm
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2024-09-18 11:50am
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3 months ago
2024-09-18 8:45am
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2024-09-18 7:17am
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2024-09-18 7:14am
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2024-09-03 5:33am
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2024-08-09 11:44am
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2024-08-09 11:01am
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2024-08-09 9:56am
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2024-08-08 3:16pm
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2024-08-08 2:35pm
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2024-08-08 1:45pm
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2024-08-08 11:50am
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2024-08-08 11:25am
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2024-08-08 11:14am
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2024-08-08 11:01am
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2024-08-08 10:39am
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2024-08-08 10:18am
v21
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5 months ago
2024-08-08 10:15am
v20
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5 months ago
2024-08-05 1:49pm
v19
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5 months ago
2024-08-05 1:26pm
v18
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5 months ago
2024-08-05 1:11pm
v17
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5 months ago
2024-08-05 1-01pm
v16
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5 months ago
2024-08-05 12:37pm
v15
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5 months ago
2024-08-05 12:35pm
v14
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5 months ago
2024-08-05 12:09pm
v13
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5 months ago
2024-06-24 3:42pm
v12
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6 months ago
2024-06-24 3:04pm
v11
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6 months ago
2024-06-24 1:21pm
v10
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6 months ago
2024-06-24 12:42pm
v9
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6 months ago
2024-06-24 12:01pm
v8
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6 months ago
2024-06-24 11:42am
v7
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6 months ago
2024-06-24 10:17am
v6
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6 months ago
2024-06-24 9:35am
v5
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6 months ago
2024-06-24 6:50am
v4
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6 months ago
2024-06-24 5:52am
v3
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6 months ago
2024-06-24 5:50am
v2
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6 months ago
2024-06-24 5:48am
v1
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6 months ago
v14
2024-08-05 12:35pm
Generated on
Aug 5, 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.
38 Total Images
View All ImagesDataset Split
Train
Set
79%
30Images
Valid
Set
13%
5Images
Test
Set
8%
3Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 640x640
Augmentations
Outputs per training example:
3
Flip:
Horizontal, Vertical
90° Rotate:
Clockwise, Counter-Clockwise, Upside Down
Crop:
10% Minimum Zoom, 30% Maximum Zoom
Saturation:
Between -25% and +25%
Blur:
Up to 2.5px
Noise:
Up to 1.45% of pixels
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