Dataset Versions
Versions
v3.1-Roatation-Hue-GrayS-LargeSet
v25
· a month ago
v3.1-Roatation-Hue-GrayS
v24
· a month ago
v3-Roatation-Hue-GrayS-WithV2Checkpoint
v23
· a month ago
v3-Roatation-Hue-GrayS
v21
· a month ago
V2.5-Hue-GrayS
v20
· a month ago
V2.5-Rotation-GrayS
v19
· a month ago
V2.5-Rotation-Hue
v18
· a month ago
V2.5-Rotation-Hue-GrayS
v17
· a month ago
V2-Saturation40-NoCheckpoint
v16
· a month ago
v2-Hue25-NoCheckpoint
v15
· a month ago
v2-Cutout-3Boxes20-NoCheckpoint
v14
· a month ago
V2-Shear-H5V15-NoCheckpoint
v13
· a month ago
v2-Grayscale20-NoCheckpoint
v12
· a month ago
V2-Flip-HV-NoCheckpoint
v11
· a month ago
V2-90Rotations-NoCheckPoint
v9
· a month ago
V2-Saturation40
v8
· a month ago
v2-Hue25
v7
· a month ago
v2-Grayscale20
v6
· a month ago
v2-Cutout-3Boxes20
v5
· a month ago
V2-Shear-H5V15
v4
· a month ago
V2-90Rotations
v3
· a month ago
V2-Flip-HV
v2
· a month ago
Anoles of Florida Identifier v1
v1
· 2 months ago
v20
V2.5-Hue-GrayS
Generated on Nov 14, 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.
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718 Total Images
View All ImagesDataset Split
Train Set 87%
628Images
Valid Set 9%
63Images
Test Set 4%
27Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Grayscale: Apply to 20% of images
Hue: Between -25° and +25°