Hi!
Link to the Starter Kit
If you have any questions or issues about the Starter Kit, please do post them in this thread. If you want to discuss new ideas and strategies on how to go about the challenge, head over to π‘ Ideas Discussion Thread
Hi!
Link to the Starter Kit
If you have any questions or issues about the Starter Kit, please do post them in this thread. If you want to discuss new ideas and strategies on how to go about the challenge, head over to π‘ Ideas Discussion Thread
Hi!
I noticed in the dataset that birds are named both βBIrdβ and βBirdβ. Could be of interest if one make classes from the names.
There might be an error in the Dataset class when combining parts.
len(dataset.get_flight_ids()) => 3438, but there are 4154 flight sequences. The same flightid exist in more than one part, but the combined Dataset is probably limited to one of the sequences.
Thanks for a fun competition!
Hi @aanndd,
Regarding βbird questionβ
Yes, both BIrd and Bird refer to the same class - thanks for letting us know and apologies for inconvenience. We will fix that. Also not that birds are not considered encounters that should be detected - they are donβt care (are not counted for either detection or not).
Regarding βcombining partsβ
Please note that train3 folder will have flight ids identical to train1 and train2. However, the corresponding videos will be different. Thus if you combing everything in one folder we suggest to concatenate folder name (e.g. train1) with flight_id.
Please let us know if you have any other questions.
Thanks for the answer. When combining I was thinking about the starter kit Dataset class:
dataset**.add**(local_path, s3_path)
Hi @aanndd, the Dataset
class is updated for above edge case and should provide you all the 4154 flight sequences.