Dataset Versions
Versions
2023-06-30 7:37am
v40
· a year ago
2023-06-28 2:45pm
v39
· a year ago
2023-06-28 11:43am
v38
· a year ago
2023-06-28 11:39am
v37
· a year ago
2023-06-28 8:59am
v36
· a year ago
2023-06-27 11:32pm
v35
· a year ago
2023-06-27 3:49pm
v34
· a year ago
2023-06-27 1:48pm
v33
· a year ago
2023-06-27 11:29am
v32
· a year ago
2023-06-26 8:15pm
v31
· a year ago
2023-06-26 11:00am
v30
· a year ago
2023-06-25 12:36pm
v29
· a year ago
2023-06-25 10:58am
v28
· a year ago
2023-06-25 7:44am
v27
· a year ago
2023-06-24 10:35pm
v26
· a year ago
2023-06-24 11:59am
v25
· a year ago
2023-06-23 1:24pm
v23
· a year ago
2023-06-23 11:30am
v21
· a year ago
2023-06-23 10:10am
v20
· a year ago
2023-06-23 7:32am
v19
· a year ago
2023-06-22 8:39pm
v18
· a year ago
2023-06-22 5:30pm
v17
· a year ago
2023-06-22 2:30pm
v16
· a year ago
2023-06-22 1:46pm
v15
· a year ago
2023-06-22 11:40am
v13
· a year ago
2023-06-22 10:51am
v12
· a year ago
2023-06-22 9:30am
v10
· a year ago
2023-06-21 2:48pm
v8
· a year ago
2023-06-21 11:59am
v7
· a year ago
2023-06-21 8:10am
v5
· a year ago
2023-06-20 10:21pm
v4
· a year ago
2023-06-20 10:21pm
v3
· a year ago
2023-06-20 10:38am
v1
· a year ago
v39
2023-06-28 2:45pm
Generated on Jun 28, 2023
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.
2824 Total Images
View All Images
Dataset Split
Train Set 85%
2412Images
Valid Set 6%
158Images
Test Set 9%
254Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 320x240
Filter Null: Require at least 90% of images to contain annotations.
Augmentations
Outputs per training example: 2
Blur: Up to 4px
Bounding Box: Crop: 0% Minimum Zoom, 10% Maximum Zoom
Bounding Box: Brightness: Between -25% and +0%
Bounding Box: Noise: Up to 5% of pixels