Dataset Versions
Versions
2024-07-16 1:09pm
v26
· 4 months ago
2024-07-11 12:51pm
v25
· 4 months ago
2024-07-11 12:28pm
v24
· 4 months ago
2024-07-10 11:01am
v23
· 4 months ago
2024-07-09 10:35am
v22
· 5 months ago
2024-07-06 6:14am
v21
· 5 months ago
2024-07-05 11:59am
v20
· 5 months ago
2024-07-04 12:57pm
v19
· 5 months ago
2024-07-04 12:38pm
v18
· 5 months ago
2024-07-04 12:37pm
v17
· 5 months ago
2024-07-02 4:56am
v16
· 5 months ago
2024-06-28 12:38pm
v15
· 5 months ago
2024-06-28 12:33pm
v14
· 5 months ago
2024-06-27 11:48am
v13
· 5 months ago
2024-06-27 11:43am
v12
· 5 months ago
2024-06-15 10:53am
v11
· 5 months ago
2024-06-15 4:30am
v10
· 5 months ago
2024-06-14 4:38am
v9
· 5 months ago
2024-06-13 1:14pm
v8
· 5 months ago
2024-06-13 12:52pm
v7
· 5 months ago
2024-06-13 11:22am
v6
· 5 months ago
2024-06-13 9:55am
v5
· 5 months ago
2024-06-12 1:41pm
v4
· 5 months ago
2024-06-11 4:02pm
v3
· 5 months ago
2024-06-11 4:00pm
v2
· 5 months ago
2024-06-10 5:58pm
v1
· 5 months ago
v21
2024-07-06 6:14am
Generated on Jul 6, 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.
6108 Total Images
View All Images
Dataset Split
Train Set 75%
4551Images
Valid Set 15%
933Images
Test Set 10%
624Images
Preprocessing
Static Crop: 14-88% Horizontal Region, 13-79% Vertical Region
Resize: Stretch to 640x640
Augmentations
No augmentations were applied.