Dataset Versions
Versions
2024-03-01 5:50pm
v19
· 9 months ago
2024-03-01 5:50pm
v18
· 9 months ago
2024-03-01 4:12pm
v17
· 9 months ago
2024-03-01 4:09pm
v16
· 9 months ago
2024-03-01 2:12pm
v15
· 9 months ago
2024-03-01 2:10pm
v14
· 9 months ago
2024-03-01 2:03pm
v13
· 9 months ago
2024-03-01 2:02pm
v12
· 9 months ago
2024-03-01 1:58pm
v11
· 9 months ago
2024-03-01 1:52pm
v10
· 9 months ago
2024-03-01 1:48pm
v9
· 9 months ago
2024-02-29 3:57pm
v8
· 9 months ago
2024-02-29 3:56pm
v7
· 9 months ago
2024-02-29 2:37pm
v6
· 9 months ago
2024-02-29 2:32pm
v5
· 9 months ago
2024-02-19 5:06pm
v4
· 9 months ago
2024-02-15 1:35pm
v2
· 9 months ago
2024-02-15 12:16pm
v1
· 9 months ago
v19
2024-03-01 5:50pm
Generated on Mar 1, 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.
Other Formats
Choose another format.
1011 Total Images
View All Images
Dataset Split
Train Set 98%
993Images
Valid Set 2%
18Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (reflect edges) in 640x480
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 0.1% of pixels