Dataset Versions
Versions
2024-07-06 11:00am
v31
· 6 months ago
2024-07-05 6:39am
v30
· 6 months ago
2024-07-05 6:33am
v29
· 6 months ago
2024-07-03 7:02am
v28
· 6 months ago
2024-05-28 1:40pm
v27
· 7 months ago
2024-05-06 1:09pm
v26
· 8 months ago
2024-05-05 6:54pm
v25
· 8 months ago
2024-04-26 8:53am
v24
· 8 months ago
2024-04-26 7:42am
v23
· 8 months ago
2024-04-26 7:32am
v22
· 8 months ago
2024-04-25 5:46am
v21
· 8 months ago
2024-04-25 2:49am
v20
· 8 months ago
2024-04-25 12:34am
v19
· 8 months ago
2024-04-25 12:31am
v18
· 8 months ago
2024-04-25 12:23am
v17
· 8 months ago
2024-04-24 2:40pm
v16
· 8 months ago
2024-04-24 2:08pm
v15
· 8 months ago
2024-04-23 9:31am
v14
· 8 months ago
2024-03-20 2:28pm
v13
· 9 months ago
2024-03-20 2:19pm
v12
· 9 months ago
2024-03-19 9:42pm
v11
· 9 months ago
2024-03-19 8:07am
v10
· 9 months ago
2024-03-19 7:51am
v9
· 9 months ago
2024-03-16 8:45am
v8
· 9 months ago
2024-03-15 2:06pm
v7
· 9 months ago
2024-03-15 2:05pm
v6
· 9 months ago
2024-03-15 11:54am
v5
· 9 months ago
2024-03-07 1:30pm
v4
· 10 months ago
2024-03-07 1:21pm
v3
· 10 months ago
2024-03-06 1:55pm
v2
· 10 months ago
2024-03-06 1:45pm
v1
· 10 months ago
v28
2024-07-03 7:02am
Generated on Jul 3, 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.
871 Total Images
View All Images
Dataset Split
Train Set 89%
771Images
Valid Set 10%
84Images
Test Set 2%
16Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -20% and +20%
Exposure: Between -10% and +10%