Dataset Versions
Versions
2024-10-06 11:54pm
v24
· 2 months ago
2024-10-03 1:10am
v23
· 2 months ago
2024-10-02 9:22pm
v22
· 2 months ago
2024-10-02 7:32pm
v21
· 2 months ago
2024-10-02 3:31pm
v20
· 2 months ago
2024-10-02 4:33am
v19
· 2 months ago
2024-10-02 3:17am
v18
· 2 months ago
2024-10-01 2:16pm
v17
· 2 months ago
2024-09-13 1:06pm
v16
· 2 months ago
2024-09-12 10:23pm
v15
· 2 months ago
2024-09-12 10:16pm
v14
· 2 months ago
2024-09-12 1:25pm
v13
· 2 months ago
2024-09-12 1:02pm
v12
· 2 months ago
2024-09-11 8:35pm
v11
· 2 months ago
2024-09-11 2:12pm
v10
· 2 months ago
2024-09-10 1:43pm
v9
· 2 months ago
2024-09-10 4:16am
v8
· 2 months ago
2024-09-10 3:57am
v7
· 2 months ago
2024-09-06 12:23am
v6
· 3 months ago
2024-09-06 12:03am
v5
· 3 months ago
2024-09-05 4:55am
v4
· 3 months ago
2024-09-05 2:45am
v3
· 3 months ago
2024-09-04 4:12am
v2
· 3 months ago
2024-08-21 9:16pm
v1
· 3 months ago
v8
2024-09-10 4:16am
Generated on Sep 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.
19849 Total Images
View All Images
Dataset Split
Train Set 99%
19588Images
Valid Set 1%
110Images
Test Set 1%
151Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
No augmentations were applied.