Dataset Versions
Versions
2024-09-24 1:56am
v32
· 2 months ago
2024-09-13 2:07am
v31
· 2 months ago
2024-08-23 5:43am
v30
· 3 months ago
2024-08-22 6:26am
v29
· 3 months ago
2024-08-22 6:25am
v28
· 3 months ago
2024-08-22 6:20am
v27
· 3 months ago
2024-08-19 4:34am
v26
· 3 months ago
2024-08-19 4:34am
v25
· 3 months ago
2024-08-19 2:48am
v24
· 3 months ago
2024-08-14 4:48am
v23
· 3 months ago
2024-08-12 11:31pm
v22
· 3 months ago
2024-08-09 5:16am
v21
· 3 months ago
2024-08-09 5:16am
v20
· 3 months ago
2024-08-09 5:15am
v19
· 3 months ago
2024-08-09 5:13am
v18
· 3 months ago
2024-08-09 5:13am
v17
· 3 months ago
2024-08-09 5:08am
v16
· 3 months ago
2024-08-09 1:06am
v15
· 3 months ago
2024-08-06 5:34am
v14
· 3 months ago
2024-08-06 5:20am
v13
· 3 months ago
2024-08-05 5:13am
v12
· 3 months ago
2024-08-05 5:11am
v11
· 3 months ago
2024-08-05 5:11am
v10
· 3 months ago
2024-08-05 4:51am
v9
· 3 months ago
2024-08-05 4:48am
v8
· 3 months ago
2024-08-05 1:07am
v7
· 3 months ago
2024-08-05 1:07am
v6
· 3 months ago
2024-08-05 1:02am
v5
· 3 months ago
2024-08-05 1:00am
v4
· 3 months ago
2024-08-04 11:59pm
v3
· 3 months ago
2024-08-04 11:57pm
v2
· 3 months ago
2024-08-04 11:50pm
v1
· 3 months ago
v3
2024-08-04 11:59pm
Generated on Aug 4, 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.
330 Total Images
View All Images
Dataset Split
Train Set 100%
330Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Hue: Between -25° and +25°
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%