teaRob Dataset

Try Pre-Trained Model
Versions
2023-08-07 12:50pm
v7
·
a year ago
2023-07-29 10:51pm
v6
·
a year ago
2023-07-18 9:55am
v5
·
a year ago
2023-07-08 5:26pm
v4
·
a year ago
yolov5_a
v3
·
a year ago
yoloV8_ycy
v2
·
a year ago
yolov5_ycy
v1
·
a year ago
v4

2023-07-08 5:26pm

Generated on Jul 8, 2023
Download Dataset

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
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.

19538 Total Images

View All Images
Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image

Dataset Split

Train Set 87%
16918Images
Valid Set 9%
1673Images
Test Set 5%
947Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Filter Null: Require at least 60% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Exposure: Between -49% and +49%
Noise: Up to 12% of pixels
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -11% and +11%
Bounding Box: Noise: Up to 12% of pixels