Dataset Versions
Versions
2024-06-21 3:25am
v25
· 5 months ago
2024-06-21 3:23am
v24
· 5 months ago
2024-06-21 3:23am
v23
· 5 months ago
2024-06-21 3:23am
v22
· 5 months ago
2024-06-21 3:22am
v21
· 5 months ago
2024-06-21 3:22am
v20
· 5 months ago
2024-06-21 2:47am
v19
· 5 months ago
2024-06-21 1:07am
v18
· 5 months ago
2024-06-20 12:07pm
v17
· 5 months ago
2024-06-17 11:46am
v16
· 5 months ago
2024-06-10 1:34pm
v15
· 6 months ago
2024-06-10 1:18pm
v14
· 6 months ago
2024-06-10 12:51pm
v13
· 6 months ago
2024-06-08 12:38pm
v12
· 6 months ago
2024-06-07 4:18pm
v11
· 6 months ago
2024-06-06 1:25pm
v10
· 6 months ago
2024-05-31 2:41pm
v9
· 6 months ago
2024-03-26 1:40pm
v8
· 8 months ago
2024-03-15 8:36am
v7
· 9 months ago
2024-02-29 9:47pm
v6
· 9 months ago
2024-02-27 2:01pm
v5
· 9 months ago
2024-01-22 9:15am
v4
· 10 months ago
2024-01-21 10:54am
v3
· 10 months ago
2024-01-18 1:14pm
v2
· 10 months ago
2023-12-27 9:34am
v1
· a year ago
v14
2024-06-10 1:18pm
Generated on Jun 10, 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.
2246 Total Images
View All ImagesDataset Split
Train Set 87%
1965Images
Valid Set 8%
188Images
Test Set 4%
93Images
Preprocessing
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Brightness: Between -15% and +15%
Exposure: Between -11% and +11%
Blur: Up to 2.1px