Dataset Versions
Versions
2023-10-29 10:46pm
v22
· a year ago
2023-10-29 10:10pm
v21
· a year ago
2023-01-22 6:06pm
v20
· 2 years ago
2023-01-20 6:46pm
v19
· 2 years ago
2023-01-20 6:36pm
v18
· 2 years ago
2023-01-14 9:12pm
v17
· 2 years ago
2023-01-14 9:11pm
v16
· 2 years ago
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v15
· 2 years ago
2023-01-13 1:32pm
v14
· 2 years ago
2023-01-13 2:19am
v13
· 2 years ago
2023-01-13 12:36am
v12
· 2 years ago
2023-01-13 12:32am
v11
· 2 years ago
2023-01-13 12:32am
v10
· 2 years ago
2023-01-13 12:20am
v9
· 2 years ago
2023-01-13 12:18am
v8
· 2 years ago
2023-01-13 12:02am
v7
· 2 years ago
2023-01-12 5:05am
v6
· 2 years ago
2023-01-12 5:03am
v5
· 2 years ago
2023-01-12 5:03am
v4
· 2 years ago
2023-01-12 5:03am
v3
· 2 years ago
2023-01-12 3:20am
v2
· 2 years ago
2023-01-12 3:19am
v1
· 2 years ago
v8
2023-01-13 12:18am
Generated on Jan 12, 2023
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.
1000 Total Images
View All Images
Dataset Split
Train Set 100%
1000Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Noise: Up to 7% of pixels