Dataset Versions
Versions
2024-04-09 1:56pm
v9
· 7 months ago
2024-04-01 4:05am
v8
· 7 months ago
2024-04-01 2:59am
v7
· 7 months ago
2024-03-31 9:55pm
v6
· 7 months ago
2024-03-30 9:39pm
v5
· 7 months ago
2024-03-30 9:34pm
v4
· 7 months ago
2024-02-28 9:09pm
v3
· 9 months ago
2024-02-28 7:51pm
v2
· 9 months ago
2024-02-28 6:50pm
v1
· 9 months ago
v1
2024-02-28 6:50pm
Generated on Feb 28, 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.
56 Total Images
View All Images
Dataset Split
Train Set 91%
51Images
Valid Set 9%
5Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Dynamic Crop: Class: Drink-Activity
Resize: Fill (with center crop) in 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 29% Maximum Zoom
Shear: ±8° Horizontal, ±8° Vertical
Hue: Between -26° and +26°
Brightness: Between -15% and +15%
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Exposure: Between -17% and +17%
Bounding Box: Noise: Up to 0.1% of pixels