robcom_training Dataset
Versions
2023-08-16 10:54am
v13
· a year ago
2023-08-15 11:10am
v12
· a year ago
pictures1
v11
· a year ago
640_rotate_brightness_noise_enlarged1
v10
· a year ago
rotate30_640_enlarged1
v9
· a year ago
rotate30_contrast_640_enlarged1
v7
· a year ago
640_enlarge_with_photos
v5
· a year ago
enlarge_640
v4
· a year ago
640
v2
· a year ago
1280
v1
· a year ago
v11
pictures1
Generated on Aug 15, 2023
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YOLOv9
TXT annotations and YAML config used with YOLOv9.
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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.
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956 Total Images
View All Images
Dataset Split
Train Set 82%
786Images
Valid Set 9%
85Images
Test Set 9%
85Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Rotation: Between -30° and +30°
Brightness: Between -50% and +50%
Noise: Up to 5% of pixels