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Versions
2024-08-16 3:40am
v15
4735
2024-02-09 11:57am
v14
4735
2023-12-26 12:18pm
v13
4735
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2023-11-30 11:02am
v12
4735
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2023-06-20 9:42am
v11
4735
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NO-Augmentation-V10
v10
2007
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2023-05-15 10:44am
v9
4829
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2023-05-15 10:29am
v8
4829
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2023-05-14 9:39am
v7
4759
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2023-05-08 4:01pm
v6
4759
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au-inv-p/1
2023-03-31 4:04pm
v5
1626
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2023-03-31 4:00pm
v4
3852
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2023-03-24 2:55pm
v3
2710
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2023-03-14 2:51pm
v2
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2023-03-02 4:59pm
v1
834
Fast
COCOv6n
v15
2024-08-16 3:40am
Generated on Aug 16, 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.
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Choose another format.
4735 Total Images
View All ImagesDataset Split
Train Set 86%
4092Images
Valid Set 9%
422Images
Test Set 5%
221Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -14° and +14°
Saturation: Between -14% and +14%
Exposure: Between -15% and +15%
Noise: Up to 0.5% of pixels
Cutout: 3 boxes with 15% size each
Mosaic: Applied