Dataset Versions
Versions
Batch 17 - 9718 augmented
v37
· 3 days ago
Batch 17 - 5717 backup
v36
· 3 days ago
Batch 16 - 9473 augmented
v35
· 20 days ago
Batch 16 - 5573 backup
v34
· 20 days ago
Batch 15 - 8895 augmented
v33
· a month ago
Batch 15 - 5233 backup
v32
· a month ago
Batch 14 - 8742 augmented
v31
· a month ago
Batch 14 - 5143 backup
v30
· a month ago
Batch 13 - 8414 augmented
v29
· a month ago
Batch 13 - 4950 backup
v28
· a month ago
Batch 12 - 8127 augmented
v26
· a month ago
Batch 12 - 4781 backup
v25
· a month ago
Batch 11 - 7700 augmented
v24
· 2 months ago
Batch 11 - 4530 backup
v23
· 2 months ago
Batch 10 - 7275 augmented
v21
· 2 months ago
Batch 10 - 4280 backup
v20
· 2 months ago
Batch 9 - 7105 augmented
v19
· 2 months ago
Batch 9 - 4180 backup
v18
· 2 months ago
Batch 8 - 6374 augmented
v17
· 3 months ago
Batch 8 - 3750 backup
v16
· 3 months ago
Batch 7 - 5771 augmented
v15
· 3 months ago
Batch 7 - 3395 backup
v14
· 3 months ago
Batch 6 - 4679 augmented
v13
· 3 months ago
Batch 6 - 2753 backup
v12
· 3 months ago
Batch 5 - 3526 augmented
v11
· 3 months ago
Batch 5 - 2075 backup
v10
· 3 months ago
Batch 4 - 2709 augmented
v9
· 3 months ago
Batch 4 - 1594 backup
v8
· 3 months ago
Batch 3 - 2292 augmented
v7
· 3 months ago
Batch 3 - 1349 backup
v6
· 3 months ago
Batch 2 - 1191 backup
v5
· 3 months ago
Batch 2 - 2024 augmented
v3
· 3 months ago
Batch 1 - 1068 augmented
v2
· 3 months ago
Batch 1 - 629 backup
v1
· 3 months ago
v26
Batch 12 - 8127 augmented
Generated on Oct 3, 2024
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
TXT annotations and YAML config used with YOLOv9.
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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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8127 Total Images
View All Images
Dataset Split
Train Set 82%
6692Images
Valid Set 12%
957Images
Test Set 6%
478Images
Preprocessing
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 15% of images