Dataset Versions
Versions
2024-04-17 10:55am
v22
· 10 months ago
2024-04-16 9:34pm
v21
· 10 months ago
2024-04-09 2:32pm
v20
· a year ago
2024-04-09 2:26pm
v19
· a year ago
2024-04-09 12:42pm
v18
· a year ago
2024-04-07 9:45am
v17
· a year ago
2024-04-04 12:05pm
v16
· a year ago
2024-04-04 11:56am
v15
· a year ago
2024-04-04 11:51am
v14
· a year ago
2024-04-04 11:46am
v13
· a year ago
2024-04-04 11:28am
v12
· a year ago
2024-04-04 11:23am
v11
· a year ago
2024-04-02 10:03pm
v10
· a year ago
2024-03-25 7:32am
v9
· a year ago
2024-03-19 7:10pm
v8
· a year ago
2024-03-19 9:21am
v7
· a year ago
2024-03-18 7:44pm
v6
· a year ago
2024-03-18 12:39pm
v5
· a year ago
2024-01-04 5:30am
v4
· a year ago
2024-01-04 5:28am
v3
· a year ago
2024-01-04 5:28am
v2
· a year ago
2024-01-04 10:58am
v1
· a year ago
v22
2024-04-17 10:55am
Generated on Apr 17, 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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5324 Total Images
View All Images
Dataset Split
Train Set 91%
4854Images
Valid Set 6%
331Images
Test Set 3%
139Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±10° Horizontal, ±10° Vertical