Dataset Versions
Versions
2025-01-30 9:06pm
v27
· a month ago
2025-01-30 7:09pm
v26
· a month ago
2025-01-29 5:18pm
v25
· a month ago
2025-01-23 1:02pm
v24
· 2 months ago
2025-01-22 12:41am
v23
· 2 months ago
2025-01-22 12:22am
v22
· 2 months ago
2025-01-22 12:20am
v21
· 2 months ago
2025-01-21 7:35pm
v20
· 2 months ago
2025-01-20 12:08pm
v19
· 2 months ago
2025-01-20 11:07am
v18
· 2 months ago
2025-01-15 12:33am
v17
· 2 months ago
2025-01-09 2:32pm
v16
· 2 months ago
2025-01-06 10:42am
v15
· 2 months ago
2025-01-05 12:08pm
v14
· 2 months ago
2025-01-01 12:24pm
v13
· 2 months ago
2024-12-28 6:58pm
v12
· 2 months ago
2024-12-26 5:53pm
v11
· 2 months ago
2024-12-26 5:45pm
v10
· 2 months ago
2024-12-16 12:31am
v9
· 3 months ago
2024-12-16 12:14am
v8
· 3 months ago
2024-12-16 12:08am
v7
· 3 months ago
2024-12-14 10:40pm
v6
· 3 months ago
2024-12-14 10:15pm
v5
· 3 months ago
2024-12-14 7:44pm
v4
· 3 months ago
2024-12-14 7:17pm
v3
· 3 months ago
2024-12-14 4:59pm
v2
· 3 months ago
2024-12-14 12:09pm
v1
· 3 months ago
v9
2024-12-16 12:31am
Generated on Dec 15, 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.
344 Total Images
View All Images
Dataset Split
Train Set 70%
240Images
Valid Set 23%
78Images
Test Set 8%
26Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
No augmentations were applied.