Dataset Versions
Versions
2022-06-23 9:48am
v31
· 2 years ago
2022-06-23 8:39am
v30
· 2 years ago
2022-06-22 2:50pm
v29
· 2 years ago
2022-06-21 8:17pm
v27
· 2 years ago
2022-06-21 2:07pm
v26
· 2 years ago
2022-06-06 3:24pm
v25
· 2 years ago
2022-04-12 8:21pm
v24
· 3 years ago
2022-04-12 7:15pm
v23
· 3 years ago
2022-04-12 5:13pm
v22
· 3 years ago
2022-04-12 3:39pm
v21
· 3 years ago
2022-04-12 1:14pm
v20
· 3 years ago
2022-04-12 12:15pm
v19
· 3 years ago
2022-04-11 10:30pm
v18
· 3 years ago
2022-04-09 1:12pm
v17
· 3 years ago
2022-04-09 12:04pm
v16
· 3 years ago
2022-04-09 11:34am
v15
· 3 years ago
2022-04-09 11:02am
v14
· 3 years ago
2022-04-09 10:05am
v13
· 3 years ago
2022-04-09 9:12am
v12
· 3 years ago
2022-04-09 9:07am
v11
· 3 years ago
2022-04-09 8:25am
v10
· 3 years ago
2022-04-08 9:26pm
v9
· 3 years ago
2022-04-08 8:46pm
v8
· 3 years ago
2022-04-08 6:45pm
v7
· 3 years ago
2022-04-08 5:40pm
v6
· 3 years ago
2022-04-05 9:30am
v5
· 3 years ago
2022-04-05 8:32am
v4
· 3 years ago
2022-04-05 12:39am
v3
· 3 years ago
2022-04-01 8:25pm
v2
· 3 years ago
2022-04-01 6:43pm
v1
· 3 years ago
v2
2022-04-01 8:25pm
Generated on Apr 1, 2022
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.
84 Total Images
View All Images
Dataset Split
Train Set 82%
69Images
Valid Set 8%
7Images
Test Set 10%
8Images
Preprocessing
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical